JPH0560596A - Abnormality diagnostic unit for rotary equipment - Google Patents

Abstract

(57) [Abstract] [Purpose] Online and offline data are organically processed by a single device to perform soundness diagnosis according to the individual characteristics of various rotating equipment, and to detect abnormal operation of the rotating equipment. Providing a rotating device abnormality diagnosis device that can be detected early. [Structure] Sensors 8 to 12 permanently installed in a rotating device, means for capturing online data from the sensors 8 to 12, means for capturing offline data recorded on a recording medium, computers 24 and 33, and online data and offline data. A means for selectively supplying the data to the computer 33 to diagnose the data, and a means for supplying online data to the computer 24 to monitor the data in real time and to interrupt the computer 33 when the data has an abnormal sign. The computer 33 has a diagnostic means for performing detailed diagnosis of data having an abnormal sign at the time of this interruption.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for diagnosing abnormalities in rotating equipment, and more particularly, online processing for monitoring and diagnosing the rotating equipment using data from various sensors permanently installed in important rotating equipment, and Rotating equipment abnormality diagnosis apparatus for organically combining offline processing for monitoring and diagnosing the rotating equipment by using data obtained at other diagnostic locations of the rotating equipment, and performing monitoring and diagnosis of the entire plant having the rotating equipment Regarding

[0002]

2. Description of the Related Art Conventionally, in a rotating device abnormality diagnosing device for predicting or diagnosing an abnormal operation of a rotating device, the magnitude of vibration generated by each rotating device to be diagnosed and the individual rotating device It is known that the abnormalities of the operation can be predicted or diagnosed by monitoring the absolute value level of the frequency component of the characteristic vibration and each item of the change with time of the vibration.

By the way, as a conventional device of this kind for monitoring each of these items, "Mitsubishi Heavy Industries Technical Report" Vo
l. 24, No. 5 (1989-9), sensors for detecting vibration, temperature, pressure, etc. of the rotating equipment to be diagnosed are permanently installed in the rotating equipment, and output signals from these sensors are constantly taken into the monitoring device. As described in Japanese Patent Laid-Open No. 177268/1985, maintenance personnel perform a patrol inspection of rotating equipment to be regularly diagnosed, and at that time, a vibration sensor is used. There is an offline type in which analog data of vibration in a bearing portion of the rotating device is measured by using a simple measuring device having a built-in, and the measured data is recorded on a recording medium such as a magnetic tape.

In this case, the online type has an advantage of being able to immediately respond to a sudden change in operation since the operating state of the rotating device to be diagnosed can be monitored at all times, while the online device can be used. It is difficult to apply it to an existing plant because it requires work and equipment costs for mounting various sensors and wiring between the monitoring device and various sensors, and the monitoring device itself becomes expensive. , It was a new plant, and only important rotating equipment was targeted for installation.

On the other hand, the offline type does not provide measurement data between one inspection and the next inspection, and the amount of information obtained is smaller than that of the online type. Although it cannot be applied, a general rotating device is widely selected as an object to be installed because the means for obtaining the measurement data is relatively simple and the monitoring device itself can be of low cost.

However, as described above, in the conventional apparatus of this type, the important rotating equipment is of the online type and the other rotating equipment is of the off-line type, so that the soundness of the rotating equipment is monitored. The diagnosis could not be made efficiently.

Therefore, in order to improve the above points,
Recently, a type that uses a combination of an offline type and an online type has been devised.

Examples of this type of type include, for example:
Japanese Patent Application Laid-Open No. 60-237781 discloses a monitoring device in which a monitoring device equipped with a data recorder is moved in accordance with a required schedule and transmission information from the monitoring device and recorded information from the recorder are used. Was
In addition, a plant diagnostic system that stores data that can be directly retrieved online in a data file of a computer, stores other data in the same data file by manual input, and uses this stored data for comprehensive diagnosis is a special feature. It is disclosed in the Japanese Utility Model Publication No. 61-685931.
In addition to this, an offline computer system for the purpose of constructing a knowledge base system for the entire plant and an online computer system for the purpose of operating guide are connected to the transmission line to reduce the load on the online computer system, A plant operating device for improving the processing speed is disclosed in Japanese Patent Laid-Open No. 63-1912.
No. 08, and on-line identifies fluctuation values of a plurality of parameters obtained in a plant, detects an abnormality based on the fluctuation values, and when an abnormality is detected, shifts to an off-line mode. A plant diagnostic device that uses the index value indicating the possibility of fluctuation to determine the parameters is disclosed in Japanese Patent Laid-Open No. 63-223809.
No. Furthermore, although it cannot be said directly that the type of using the offline type and the online type in combination, as a type similar to the type, the rotary type disclosed in Japanese Patent Laid-Open No. 60-40924. Method for diagnosing equipment abnormality, machine operation monitoring device disclosed in Japanese Patent Publication No. 60-501775, JP-A-55-746
Process control system disclosed in JP-A-06-58,58
There are known a vibration data capturing device for a rotating body disclosed in Japanese Patent No. 165018, a portable vibrometer disclosed in Japanese Patent Laid-Open No. 60-152921, and the like.

[0009]

By the way, the above-mentioned type in which the offline type and the online type are used in combination, and the type according to it are excellent in a certain range. Although it is possible to monitor and diagnose multiple devices or devices (systems) as a whole, organically perform monitoring and diagnosis according to the characteristics of these devices or devices (systems), and quickly detect abnormalities during their operation. It has the problem of being difficult to discover.

The present invention was devised to solve the above problems, and an object thereof is to organically process online data and offline data by a single device,
A rotating device abnormality diagnosis capable of early detection of abnormalities in the operation of the various rotating devices by performing soundness diagnosis according to individual characteristics of the rotating device based on various data obtained from the various rotating devices. It is to provide a device.

[0011]

In order to achieve the above-mentioned object, the present invention provides a rotating device abnormality diagnosing device for diagnosing an operating abnormality of the rotating device using various data obtained at a diagnostic portion of the rotating device. In, a sensor permanently installed in the rotating device, a means for capturing various data from the sensor online, a means for capturing various data recorded in the recording medium offline, the first and second computers, and online capturing First diagnostic means for selectively supplying various data and various data acquired offline to the second computer to perform abnormality diagnosis of those data, and supplying various data acquired online to the first computer And always monitor in real time,
An abnormality determining means for interrupting the second computer when the data has an abnormality sign, and a detailed diagnosis of the data having the abnormality sign by the second computer at the time of the interruption using the related data. The diagnostic means and the display means for displaying the results of the first and second diagnostics.

In order to achieve the above-mentioned object, the present invention provides a rotating device abnormality diagnosing device for diagnosing an operation abnormality of the rotating device by using various data obtained at a diagnostic portion of the rotating device. A permanently installed sensor, and means for capturing various data from the sensor online,
Means for capturing various data recorded in the recording medium offline, first and second computers, and data processing means for performing data processing such as monitoring and analysis of various data captured online and various data captured offline Various data captured online and offline, and storage means for storing various data after the data processing, and various data captured online or offline after the data processing are selectively supplied to the second computer. Then, the first diagnostic means for diagnosing abnormality of the data, and various data taken in online are supplied to the first computer for constant real-time monitoring, and if there is a symptom of abnormality in the data, the second means is used. Abnormality determining means for interrupting the computer of the Second diagnostic means for diagnosing the data having the abnormality sign by a computer in detail by using relevant data in the storage means, a diagnostic result of the first diagnostic means, and a diagnostic of the second diagnostic means. A display means for displaying the result each time the diagnosis is made is provided.

[0013]

Various types of data obtained from various sensors that are permanently installed in an important rotating machine to be diagnosed are directly taken into the rotating machine abnormality diagnosing device online. Further, various data obtained from a general-purpose rotating device to be diagnosed is once recorded in a recording medium, then reproduced and taken offline into the rotating device abnormality diagnosis device. In this way, the rotating device abnormality diagnosis device is configured to capture online data and offline data together and perform selective monitoring and diagnosis of those data. Therefore, despite being a single device, It enables monitoring and diagnostic processing of both online data and offline data.

At least one of various data from the important rotating equipment is constantly monitored in real time for its vibration overall (OA) value, frequency analysis value, and process value, and an abnormality is found in these values. If done,
Since the selective monitoring diagnosis of the data is interrupted immediately and the detailed diagnosis of the data in which the abnormality is found is performed, it is possible to promptly deal with the abnormality occurrence of the important rotating equipment.

Further, in the monitoring diagnosis, a database recording the characteristics of each rotating device is used as comparison data in the diagnosis, so that the cause of the abnormality having a higher certainty than the conventional diagnostic apparatus of this type is used. Can be estimated.

From the above point of view, the rotating device abnormality diagnosing device of the present invention can provide a large number of rotating devices, for example, a single device.
Since it is possible to perform monitoring and diagnosis of all rotating equipment of the entire plant, and also to detect abnormal signs of these rotating equipment at an early stage, it is possible to perform monitoring diagnosis of the soundness of rotating equipment with high reliability. ..

[0017]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing the outline of a rotating device abnormality diagnosis apparatus according to the present invention.

In FIG. 1, reference numeral 1 is various sensors permanently installed at a diagnostic location of an important rotating machine to be diagnosed, and 2 is a universal data collecting machine to be diagnosed, which can be connected to a portable data collecting device. , Various sensors arranged in 3, an online data collecting unit, 4 an offline data collecting unit, 5 a first computer for performing data diagnosis in real time,
Reference numeral 6 is an interface, and 7 is a second computer (main computer) that constantly processes various data.

The online data output from the online data collecting unit 3 is supplied to the second computer 7 via the first computer 5 and the interface 6, respectively, and the first computer 5 executes real-time online data processing. Monitoring diagnosis, and the second computer 7 performs normal diagnosis of the online data. On the other hand, the offline data output from the offline data collection unit 4 is supplied to the second computer 7 via the interface 6, and normal diagnosis is performed therein. In this case, the interface 6
Normally, the online data is supplied to the second computer 7, but it works so as to supply the offline data to the second computer 7 instead of the online data as necessary.

In the above structure, when various data detected by the various sensors 1 are supplied to the online data collecting unit 3, the online data collecting unit 3 immediately outputs at least one of the various data (online data). Is supplied online to the first computer 5 for real-time monitoring and diagnosis, and the various data (online data) is supplied to the second computer 5 for online diagnosis.
To the computer 7 as appropriate. Further, various data recorded in a portable data collecting device or the like is accumulated offline in the offline data collecting unit 4, and various data (offline data) accumulated in the offline data collecting unit 4 are sequentially diagnosed. Are supplied to the second computer 7. In this case, the second computer 7 will normally
Although the online data is diagnosed, the interface 6 is switched as necessary to perform the offline data diagnosis.

Now, assuming that the first computer 5 detects some abnormal value in the online data being monitored in real time, the first computer 5 immediately detects the second computer 7. An interrupt signal is generated, and this interrupt signal causes the second computer 7
Immediately interrupts the diagnosis of the current data (online data or offline data). Next, the first computer 5 supplies the online data or the like, which has detected the abnormality, to the second computer 7, and the second computer 7 makes a detailed diagnosis of the online data.
It determines whether or not it is abnormal.

As described above, the rotating device abnormality diagnosing apparatus according to the present invention performs monitoring diagnosis including real-time monitoring diagnosis using online data for important rotating devices, and offline for other general-purpose rotating devices. Since the monitoring diagnosis is performed by the data, it is possible to collectively perform the simple diagnosis and the detailed diagnosis according to the degree of importance of all the rotating devices, even though one rotating device abnormality diagnosis device is used. .. Further, since the real-time monitoring diagnosis is simultaneously performed on the important rotating equipment, it becomes possible to detect an abnormality in the operation of the important rotating equipment at an early stage.

FIG. 2 is a block diagram showing an embodiment in which the rotating device abnormality diagnosis apparatus according to the present invention is applied to monitor a pump.

In FIG. 2, 8 ₁ and 8 ₂ are permanent vibration sensors (vibrometers) for measuring the vibrations of the drive shaft side bearing and the non-drive shaft side bearing of the rotating part of the pump, and 9 ₁ and 9 ₂ are the rotations. Temperature sensors (thermometers) for measuring the temperatures of the drive shaft side bearings and non-drive shaft side bearings, and 9 ₃ and 9 ₄ are permanent temperature sensors (temperature sensors for measuring the water temperature on the suction side and the discharge side of the pump). 10 ₁ and 10 ₂ are permanent pressure sensors (pressure gauges) for measuring the pressure on the suction side and the discharge side of the pump, and 11 ₁ and 11 ₂ are permanent pressure sensors for measuring the flow rate on the suction side and the discharge side of the pump. A flow sensor (flow meter) 12 is a rotation sensor (pulse meter) which is also permanently installed and measures the rotational speed of the pump rotation shaft.

Further, 13 is a vibration data and data recorder 16 directly supplied online from the vibrometers 8 ₁ and 8 _2.
A data conversion unit that receives the vibration data reproduced by the above, and selectively sends one of the vibration data to the filter 14.
When the vibration data is captured by the high-speed AI board 17, 14 is a filter for removing an aliasing phenomenon during data processing by removing unnecessary frequency components, and 15 is a collection for collecting various data from a general-purpose pump. A data collecting device for bringing the vibration data of the pump to a magnet (magnetic) tape and bringing it to the site, a data recorder 16 for reproducing the vibration data recorded on the magnetic tape in the data collecting device 15, and a data converter 13 And a high-speed AI board for taking in the vibration data from the vibrometers 8 ₁ and 8 ₂ input via the filter 14 or the vibration data reproduced by the data recorder 16, 18 is a thermometer 9
AI boards for loading process data obtained respectively in ₁ , 9 ₂ , 9 ₃ , 9 ₄ , pressure gauges 10 ₁ , 10 ₂ , flow meters 11 ₁ , 11 ₂ , and pulse meter 12, 19 is a data conversion unit 13 , IB for controlling the operation of the filter 14, the data recorder 16 and the data recorder 16, respectively.
It's a board. Among various data from a general-purpose pump, process data such as temperature, pressure, flow rate, and rotation speed is recorded by a recording means other than the magnetic tape, for example, a sensor of the process data, that is, a thermometer, a pressure gauge. It records on the recording paper etc. which records the indication value of the flow meter and the tachometer.

Further, 20 is an FFT board for performing FFT (fast Fourier transform) processing of the vibration data captured by the high-speed AI board 17, and 21 is an OA (overall) value monitoring of the vibration data captured by the high-speed AI board 17. An OA monitor board, 22 is a frequency component monitor board that monitors and analyzes frequency components of vibration data captured by the high-speed AI board 17, and 23 is a process monitor board that monitors and analyzes process data captured by the AI board 18.
4 is high-speed AI board 17, AI board 18, GP-IB
Board 19, FFT board 20, OA monitoring board 21,
The frequency component monitor board 22 and the process monitor board 23 are placed under control, respectively, and vibration data and process data input / output to / from each of the boards 17 to 23 are properly fetched by the respective processing commands, and the fetched vibration data and An OS board for signal acquisition monitoring having a function of monitoring and diagnosing process data in real time, and corresponds to the first computer 5 shown in FIG.

In addition to the above, reference numeral 25 is vibration data taken in the high-speed AI board 17, vibration data subjected to FFT processing by the FFT board 13, and process data such as temperature, pressure, flow rate, rotation speed taken in by the AI board 18. A memory board for temporarily storing process data such as temperature, pressure, flow rate, rotation speed, etc. from the input / output board 30 and inspection information necessary for signal acquisition processing; and 26 a memory board 25. The vibration data captured in the high-speed AI board 17, the vibration data FFT processed by the FFT board 20, the temperature and pressure captured in the AI board 18,
Various process data such as flow rate and rotation speed, process data such as temperature, pressure, flow rate and rotation speed from the input / output board 30, and inspection information required for signal acquisition processing are stored in the external storage device 27. A disk control board for control, 27 is an external storage device for permanently storing the data and the information temporarily stored in the memory board 25 under the control of the disk control board, and 28 is various data. , A graphic board for creating screen data for displaying the monitoring / diagnosing status and the diagnostic result thereof, 29 is a color CRT (cathode ray tube) for displaying the monitoring / diagnosing status of the various data and its diagnostic result, and 30 is the above-mentioned various Data monitoring Diagnosis status and its diagnosis result are output to the printer 31, and the keyboard 32
An input / output board for taking in inputs from the printer, 31 is a printer for printing out the above-mentioned various data monitoring diagnostic conditions and their diagnostic results, and 32 is for inputting process data from a general-purpose pump supplied offline and for processing data. A keyboard for inputting selection, 33 is the memory board 2
5, the disk control board 26, the graphic board 28, and the input / output board 30 are placed under the control of the memory board 2 according to their respective processing instructions.
5 is an OS board for signal processing diagnosis for taking in online data or offline data stored in 5, and diagnosing the taken-in vibration data and process data such as temperature, pressure, flow rate, and rotation speed. Of the computer 7. Further, 34 is a bus line for communicating various data between the boards 17 to 26, 28, 30, 33.

In this case, the high speed AI board 17, AI board 18, GP-IB board 19, FFT board 20, O
A monitor board 21, frequency component monitor board 22, process monitor board 23, signal acquisition monitor OS board 2
4, memory board 25, disk control board 2
6, the graphic board 28, the input / output board 30, and the signal processing diagnostic OS board 33 all have a microcomputer or a circuit device similar to them therein, and are especially for signal acquisition monitoring. O
As described above, the S board 24 and the signal processing diagnostic OS board 33 are computers.

In the above-mentioned structure, the vibration meters 8 ₁ , 8 ₂ and the thermometer 9 ₁ , which are permanently installed at the measurement points of the important pump to be diagnosed,
9 ₂ , 9 ₃ , 9 ₄ , pressure gauge 10 ₁ , 10 ₂ , flow meter 11
₁ , 11 ₂ and various data obtained from the pulse meter 12 are directly taken into the rotating device abnormality diagnosis device online and used for creating the database of the pump to be diagnosed and for monitoring and diagnosing the soundness. It On the other hand, the vibration data recorded on the magnetic tape of the data collecting device 15 and obtained from the general-purpose pump to be diagnosed is reproduced by the data recorder 16 off-line,
The reproduced data is also taken into the rotating device abnormality diagnosis device, and is used for creating the database of the pump to be diagnosed and for monitoring and diagnosing the soundness as in the case described above.
Then, at least one of the vibration data and the process data such as temperature, pressure, flow rate, and the number of revolutions taken into the rotating device abnormality diagnosing device online is monitored in real time by the rotating device abnormality diagnosing device. When an abnormality is found in the value of the data, the detailed diagnosis is performed on the data.

Next, the details of the operation of the rotating device abnormality diagnosing device will be sequentially described with reference to the flow charts described below.

FIG. 3 is a flow chart showing comprehensively the processing procedure of various data performed in the rotating device abnormality diagnosing device.

First, in step 35, it is determined whether or not various data input to the rotating device abnormality diagnosis device are data input offline, that is, the data requires offline processing. It is determined whether or not the data does not require the off-line processing, the process proceeds to step 36, and the data is taken in at step 36. next,
In step 37, an online simple diagnosis is executed for the data taken in step 36, that is, the vibration data and the process data such as temperature, pressure, flow rate and rotation speed. Next, in step 38, it is determined whether or not the online simple diagnosis is completed,
If the online simple diagnosis is not yet completed, the process proceeds to step 39, and it is determined whether or not there is an interrupt signal transmitted in step 53 described later. In this determination, if there is no interrupt signal, the above step 37 is performed.
I went back to and repeated online simple diagnosis,
If there is an interrupt signal, the process proceeds to step 40, and in step 40, vibration data and temperature of the pump in which an abnormality is detected by the real-time monitoring performed in step 52 described later (hereinafter, referred to as suspected pump), Various process data such as pressure, flow rate and rotation speed are collected online. Next, in step 41, the database for the suspected pump is retrieved from the databases for the various pumps stored in the external storage device 27, and the characteristics of the suspected pump are obtained.
Read the past inspection history etc. Next, in step 42, based on the vibration data obtained by the suspected pump and various process data such as temperature, pressure, flow rate, and rotation speed, and the database of the suspected pump read in step 41, shown in FIG. Using such a causal matrix, detailed diagnosis is performed on the vibration data and various process data such as temperature, pressure, flow rate, and rotation speed. Next, in step 43, the detailed diagnosis result is displayed on the screen of the color CRT 29 together with the pump schematic configuration diagram, the estimated cause of the abnormal state, and the certainty factor, and further, as shown in FIG. As shown in FIG. 22, a countermeasure against the abnormal state is displayed as guidance. Subsequently, in step 44, the degree of the abnormal state of the suspected pump is determined based on the result of the detailed diagnosis, and when it is determined that the abnormal state is severe, the process proceeds to step 45, It issues a command to stop the operation of the suspected pump. If it is determined that the abnormal state is minor, the first step 3
5, the process for the online data is executed again in accordance with the flow from step 35 onward.

In this case, when the online simple diagnosis is completed in the step 38 for performing the online simple diagnosis, the process proceeds to step 46, and in step 46, whether the result of the online simple diagnosis shows any abnormality or not. Whether or not it is determined. In this determination, if an abnormal sign is found, the process proceeds to step 41, and as described above, the processes in steps 41 to 45 are sequentially performed. If no abnormal sign is found, the first step 35 is performed. Then, the processing for various data continuously input after step 35 is executed again according to the flow.

On the other hand, if it is determined in step 35 that the presence / absence of offline processing for various input data is determined to be that the data requires offline processing, the process proceeds to step 47. In step 47, the data is taken in. Next, in step 48, as in the case of step 37, the data acquired in step 47, that is, the vibration data reproduced in the data recorder 16 and the temperature, pressure, and flow rate input from the keyboard 32 are input. Perform offline simple diagnosis for process data such as rotation speed. Then, step 49
In the above step, it is determined whether or not the offline simple diagnosis is completed. If the offline simple diagnosis is not completed yet, the process proceeds to step 50 and step 53 described later.
It is determined whether or not there is an interrupt signal transmitted at. In this determination, if there is no interrupt signal, the process returns to step 48 to repeat the offline simple diagnosis, and if there is an interrupt signal, the step 40 of collecting the vibration data and the process data for the suspected pump. Then, as described above, the processes of steps 40 to 45 are sequentially performed.

In this case, in step 48 of performing the offline simple diagnosis, if the offline simple diagnosis is completed, the process proceeds to step 51, and in step 51, whether there is any abnormal sign in the result of the offline simple diagnosis. Whether or not it is determined. In this determination, if an abnormal sign is found, the process proceeds to step 41, and as described above, the processes in steps 41 to 45 are sequentially performed. If no abnormal sign is found, the first step 35 is performed. Then, the processing for various data continuously input after step 35 is executed again according to the flow.

Further, at step 52, at least one of various data inputted online to the rotating device abnormality diagnosing device is always fetched in real time, and subsequently at step 53, it is fetched at step 52. The data is also monitored and diagnosed in real time. If no abnormality is found in the data, no output is generated, but if any abnormal value is found in the data, an interrupt signal is generated, and the interrupt signal is generated in the step. Three
Used in 9, 50.

Next, next, the online processing executed by the rotating device abnormality diagnosis apparatus of the present invention for various data,
Each function of offline processing, real-time processing, and diagnosis will be explained individually.

Online Processing In summary, the online processing is performed by vibrometers 8 ₁ , 8 ₂ and thermometers 9 ₁ , 9 at a plurality of important pump diagnostic points, respectively.
₂ , 9 ₃ , 9 ₄ , pressure gauge 10 ₁ , 10 ₂ , flow meter 1
Various sensors such as 1 ₁ , 11 ₂ and pulse meter 12 are permanently installed, various data obtained from these sensors are directly imported into the rotating device abnormality diagnosis device, and a database for each pump is based on the various data acquired. Together with
It means the function of monitoring and diagnosing the health of each pump.

More specifically, the vibrometers 8 ₁ and 8 ₂
The vibration data obtained from the data is supplied online to the data conversion unit 13, where it is selected from the vibration data from the data recorder 16. Data recorder 16
When the vibration data is selected from the vibrometers 8 ₁ and 8 ₂ by, the vibration data is taken into the high-speed AI board 17 at a speed suitable for the vibration data input via the filter 14 excluding unnecessary frequency components. .. At this time, each setting of the vibration data acquisition speed in the high-speed AI board 17 and the unnecessary frequency range removed by the filter 14 is managed by the signal acquisition monitor OS board 24.
It is performed under the control of the B board 19. The vibration data captured by the high-speed AI board 17 is managed by the signal capturing and monitoring OS board 24, and the FFT board 20, the OA monitoring board 21, the frequency component monitoring board 22, and the bus line 34. It is sent to the memory board 25. The FFT board 20 FFs the input vibration data.
The T-process is performed, and the vibration data after the FFT process is transmitted to the memory board 25.

Process data obtained from various sensors such as thermometers 9 ₁ , 9 ₂ , 9 ₃ , 9 ₄ , pressure gauges 10 ₁ , 10 ₂ , flow meters 11 ₁ , 11 ₂ and pulse meter 12 are ,
It is taken into the AI board 18 online. The captured process data is sent to the process monitoring board 23 and the memory board 25 via the bus line 34 under the control of the signal acquisition monitoring OS board 24.
The memory board 25 temporarily stores, for each pump, the date and time of taking in various data taken online, the pump name, inspection information such as a diagnostic location, data indicating a vibration waveform, FFT processing data, and process data in order. Data indicating the vibration waveform stored in the memory board 25, FF
Regarding each data of T processing data and process data,
The signal processing diagnostic OS board 33 is controlled to take in the signal processing diagnostic OS board 33, and the simple diagnosis is performed on the respective data.

In the simple diagnosis, when even one of the values of each data is detected as an abnormality sign, the signal processing diagnosis OS board 33 subsequently performs a detailed diagnosis of each data, and the abnormality sign is detected. Estimate the cause of. The detailed diagnosis result is displayed on the screen of the color CRT 29 based on the screen data created by the graphic board 28, and necessary information is printed out by the printer 31. After the detailed diagnosis is completed, each data of the diagnosis result and the data indicating the vibration waveform stored in the memory board 25, the FFT processing data, and the process data is processed in the disk control board 26, and each of the data is externally processed. It is permanently stored in the storage device 27 as a database for each pump.

Offline Processing In summary, the offline processing is intended for data obtained from a plurality of general-purpose pumps of low importance, and the diagnostic points of the pump that should diagnose the portable data collection device 15. The vibration data obtained at the diagnostic point is recorded on a magnetic tape, the process data is recorded on another recording means, and then the recorded vibration data is reproduced off-line in the data recorder 16. .. Next, the regenerated vibration data and the keyboard-input process data are loaded into a rotating device abnormality diagnosis device, and a database for each pump is created based on the loaded various data, and the soundness of each pump is checked. It means the function of monitoring and diagnosing.

When describing this in detail, as the data collecting device 15 used for the off-line processing, for example, the one described below is used.

FIG. 4 is a block diagram showing an example of the data collection device 15, in which a triaxial vibrometer is used as a vibration sensor.

In FIG. 4, reference numeral 54 denotes a vibration sensor which is attached to a measuring point of a pump to be diagnosed and detects vibration at the measuring point, and 55 denotes the vibration sensor 54 and each amplifier 56 _1.
~ 56 ₃ is a connector to connect with, 56 ₁ is a vibration sensor 5
X that amplifies the vibration detection signal in the X-axis direction output from 4
The axis amplifier, 56 ₂ is the Y output from the vibration sensor 54.
A Y-axis amplifier for amplifying the vibration detection signal in the axial direction, 56 ₃
Is a Z-axis amplifier that amplifies a Z-axis vibration detection signal output from the vibration sensor 54, and 57 ₁ is an X-axis amplifier 56.
_{1 is} an amplification factor determination unit that determines the proper amplification factor for the vibration detection signal, 57 ₂ is an amplification factor determination unit that determines the proper amplification factor for the vibration detection signal of the Y-axis amplifier 56 ₂ , and 57 ₃ is Z
An amplification factor determination unit that determines an appropriate amplification factor for the vibration detection signal of the shaft amplifier 56 ₃ ; 58 ₁ an amplification factor setting unit that sets the appropriate amplification factor determined by the amplification factor determination unit 57 ₁ to the corresponding amplifier 56 ₁ ; Reference numeral 58 ₂ is an amplification factor setting unit that sets the proper amplification factor determined by the amplification factor determination unit 57 ₂ in the corresponding amplifier 56 ₂ , and 58 ₃ is the corresponding amplification unit 56 ₃ that determines the proper amplification factor determined by the amplification factor determination unit 57 _3. Amplification factor setting section set to 5
Reference numeral 9 is a signal capturing section that controls the data recorder 61 when capturing the vibration detection signal, and 60 is each amplification factor determining section 5 described above.
7 ₁ to 57 _3, each gain setting section 58 _1-58
3 and a single board computer that sends an operation command to the signal capturing unit 59 and controls the data recorder 61 to record the vibration detection signal on a magnet (magnetic) tape. Reference numeral 61 is a magnetic tape that incorporates the vibration detection signal. The data recorder 62 records data on the magnetic tape, and the recording time setting unit 62 sets the time for recording the vibration detection signal on the magnetic tape of the data recorder 61.

FIG. 5 is a flow chart of the process of recording and collecting the vibration detection signal performed in the data collecting device 15. The operation of the data collecting device 15 will be described with reference to this flow chart.

First, in step 63, the magnetic tape is set in the data recorder 61 built in the data collecting device 15, and when the setting is completed, the process proceeds to step 64, and in step 64, the power of the data collecting device 15 is turned on. throw into. Next, in step 65, it is moved to the front of the pump to be diagnosed to confirm that it is the pump to be measured, and the process proceeds to step 66.
Then, in step 66, the measurement point of the pump is confirmed, and the vibration sensor 54 is attached to the measurement point while confirming the attachment direction of the vibration sensor 54.
Next, in step 67, when the measurement switch is turned on, the vibration detection signal in the X-axis direction obtained from the vibration sensor 54 passes through the X-axis amplifier 56 ₁ and the X-axis amplification factor determination unit 5
The vibration detection signal in the Y-axis direction is sent to the Y-axis amplifier 56 _{2 at} 7 _1.
The vibration detection signal in the Z-axis direction is sent to the Y-axis amplification factor determination unit 57 ₂ via the Z-axis amplification factor determination unit 57 ₃ via the Z-axis amplifier 56 ₃ . At this time, the respective amplification factor decision unit 57 ₁ to 57 _3, the optimum amplification factor of the amplifier 56 ₁ to 56 ₃ in the case of recording a vibration detection signal to the magnet tape, 1-fold, 10-fold, 100-fold A determination is made from each amplification factor, and the result of the determination is sent to the single board computer 60. Next, in step 68, on the basis of the respective amplifiers 56 ₁ to 56 ₃ of the amplification factor determination result wherein each amplification factor decision unit 57 ₁ to 57 ₃ corresponding conducted,
The single board computer 60 includes the amplifiers 56
Instructs the amplification factor setting unit 58 ₁ to 58 ₃ corresponding setting optimum amplification factor _{1-56 3,} wherein each amplifier 56 _1-5
The operation for setting the amplification factor of 6 _{3 to} the optimum amplification factor is performed. If the setting of the amplification factor of the amplifier 56 ₁ to 56 ₃ is completed, the respective amplification factor setting unit 58 _1-5
8 ₃ informs the single board computer 60 that the setting of each amplification factor is completed. Then, step 69
In the above, the single board computer 60 issues a command for capturing the vibration detection signal to the signal capturing section 59,
At the same time, the operation of the data recorder 61 is started. Next, in step 70, the data recorder 61 records the captured vibration detection signal on the magnetic tape as shown in FIG. When the vibration detection signal is recorded on the magnetic tape for a certain period of time, the process proceeds to step 71 and the operation of the data recorder 61 is stopped. Next, in step 72, it is judged whether or not the measurement point still remains. If the measurement point still remains, the process proceeds to step 66, and the vibration sensor 54 is attached to the next measurement point. As described above, the processing of steps 66 to 72 is repeatedly executed. On the other hand, when there are no more measurement points, the process proceeds to step 73, and it is determined whether or not the pump (rotating device) to be measured (diagnosed) still remains. At this time, if there are still pumps to be measured, the process proceeds to step 72, moves to the position before the pump (rotating device) to be measured (diagnosed) next, and as described above, steps 65 to 65 are performed. The process of step 73 is repeatedly executed. On the other hand, when there is no pump (rotating device) to be measured (diagnosed) next, the flow of the process of recording and collecting the vibration detection signal is ended.

In the above-mentioned flow, each process sequentially performed in steps 68 to 71 is performed by turning on the measurement switch in the previous step 67.
After that, each processing described above is automatically and sequentially executed under the control of the single board computer 60. Therefore, the user does not have to perform any difficult operation.
The data collecting device 15 can be used, and each of the amplifiers 56 ₁ to 56 ₁ can be used in the process of recording and collecting the vibration detection signal.
56 ₃ risk of performing erroneous operation in the amplification factor setting of is significantly reduced.

Here, FIG. 6 is a signal waveform diagram showing an example of a recording format when recording the vibration detection signal on the magnetic tape in step 70 in the flow of FIG.

In FIG. 6, 74 is a first signal recording section, 7
Reference numeral 5 is a second signal recording unit, 76 is a third signal recording unit, 77 is a fourth signal recording unit, and 78 is a fifth signal recording unit.

[0052] Then, the first signal recording unit 74 is an amplification factor recording unit of each amplifier 56 _{1-56 3,} the voltage level at the amplification factor 1 times +0.5 (V), the amplification factor 10 times Voltage level of +1 (V) when, and -1 when the amplification factor is 100 times
Each voltage level corresponding to the amplification factor, such as the voltage level of (V), is recorded. Second signal recording unit 75
Is a calibration voltage recording unit in which a reference voltage level, for example, a voltage level of 1 mV is recorded. The third signal recording unit 76 is a recording unit for the vibration detection signal (signal waveform), and the vibration detection signal (signal waveform) is recorded at the time interval set by the recording time setting unit 62. Fourth signal recording unit 7
Reference numeral 7 denotes a recording unit for the end signal, which is the first signal recording unit 74.
The same voltage level as the voltage level corresponding to the amplification factor recorded in is recorded. The fifth signal recording unit 78 is a mute signal recording unit, and records a voltage level serving as a reference for each voltage level, for example, a voltage level of 0 (V).

As described above, the vibration detection signal (signal waveform) recorded on the magnetic tape is, for one data, the amplification factor of the amplifier, the calibration voltage, the vibration detection signal (signal waveform), and the end signal. And recording of the mute signal.

Here, the process of fetching the vibration detection signal obtained by the data collecting device 15 into the rotating device abnormality diagnosis device off-line and processing the vibration detection signal will be described with reference to FIG.
Will be explained.

With respect to the vibration detection signal (vibration data) recorded on the magnetic tape of the data collecting device 15, the inspection information indicating which part of which pump is obtained by the measurement is recorded in the recorded order in the keyboard. 32
Enter with. The input inspection information is input / output board 3
Is transmitted to the OS board 33 for signal processing diagnosis via 0,
After that, it is temporarily stored in the memory board 25. The vibration data recorded on the magnetic tape is reproduced by the data recorder 16, and the reproduced vibration data is supplied to the data conversion unit 13. When the reproduced vibration data is selected by the data conversion unit 13, the vibration data is taken into the high-speed AI board 17 at a speed suitable for the vibration data after the unnecessary frequency components are removed by the filter 14. At this time, each setting of the unnecessary frequency region removed by the filter 14 and the acquisition rate of the vibration data with respect to the high-speed AI board 17 is set by the GP-IB managed by the signal acquisition monitoring OS board 24.
It is performed under the control of the board 19. The captured vibration data is stored in the signal processing diagnostic OS board 33.
After confirming which part of which pump the vibration data (vibration detection signal) recorded on the magnetic tape was obtained by measurement, the high-speed AI board 1
7 through the bus line 34, the FFT board 20
, OA monitoring board 21 and frequency component monitoring board 22
Is sent to the memory board 25. In this case, the FFT board 20 performs FFT processing on the input vibration data,
The vibration data after the FT processing is sent to the memory board 25 and temporarily stored therein.

Further, in this off-line processing, the temperature, pressure, flow rate and rotation speed obtained from various sensors connected to the measurement points of the pump to be diagnosed, that is, thermometer, pressure gauge, flow meter, tachometer, etc. Process data such as is transmitted to the rotating device abnormality diagnosing device off-line by means of recording the indicated value of each instrument in some form or the like, and taken into the rotating device abnormality diagnosing device by the keyboard 32. The fetched process data is stored in the memory board 25. At that time, the memory board 25 has, for each pump, inspection information indicating the date and time of fetching the process data offline, the pump name, the measurement location, and the process data. And are sequentially stored. The process data stored in the memory board 25 is stored in the signal processing diagnostic OS board 33.
Is read by the signal processing diagnostic OS board 33, and a simple diagnosis is performed on the process data. When an abnormal sign is found in the process data, the detailed diagnosis is performed to estimate the cause of the abnormal sign. The result of this diagnosis is displayed on the screen of the color CRT 29 by the screen data from the graphic board 28, and at the same time, the necessary items are printed out by the printer 31. When the diagnosis is completed, the result of the diagnosis, the inspection information stored in the memory board 25, and the process data are stored in the disk control board 2.
6 and permanently store them in the external storage device 27 as a database for each pump.

Real-Time Processing In summary, the real-time processing is performed at present when various kinds of online data from important pumps are monitored in real time and any abnormal value is found in the various kinds of data. This means a function of interrupting the diagnosis of existing online data or offline data and interrupting the diagnosis.

More specifically, the vibration data obtained by the vibrometers 8 ₁ and 8 ₂ that are permanently installed in the important pumps are taken into the high-speed AI board 17 via the data conversion unit 13 and the filter 14 online. The captured vibration data is based on the management of the signal acquisition monitoring OS board 24.
It is sent to the FFT board 20, the OA monitoring board 21, and the frequency component monitoring board 22 via the bus line 34. In addition, the thermometers 9 ₁ and 9 permanently installed in the pumps which are also important
₂ , 9 ₃ , 9 ₄ , pressure gauge 10 ₁ , 10 ₂ , flow meter 1
The process data obtained by 1 ₁ , 11 ₂ , the pulse meter 12 and the like are taken into the AI board 18 online, and the taken process data is managed by the signal acquisition monitoring OS board 24 and the bus line 34. Is sent to the process monitoring board 23 via.

In this case, the OA monitoring board 21 monitors the overall value of the sent vibration data, and the frequency component monitoring board 22 carries out a frequency analysis of the sent vibration data to determine the total frequency band for each pump. The vibration level and the vibration level in the particular frequency band of interest are monitored. Further, the process monitoring board 23 monitors the level of process data such as the temperature, pressure, flow rate, rotation speed, etc. sent thereto.

Then, in the screen showing the result of the online data diagnosis (online processing) or the offline data diagnosis (offline processing), the vibration OA of the important pump performing real time monitoring (real time processing).
The values, the frequency analysis values, and the process values are displayed together, and the above-mentioned data are constantly monitored.

That is, each of the boards 21, 22 and 23 used for real-time processing monitors whether or not the value of each data input thereto exceeds the monitoring reference value set for each monitoring item. If the value of each data is within the monitoring reference value, a signal indicating that each data is normal is sent to the signal acquisition monitoring OS board 24. Upon receiving this signal, the signal acquisition monitoring OS board 24 controls the graphic board 28 and, as shown in FIG. 9, displays on the screen of the color CRT 29.
Display that each monitoring data in the real-time processing is normal. On the other hand, when the value of each data exceeds the monitoring reference value set for each monitoring item, the signal acquisition monitoring OS board 24 indicates a caution or abnormality depending on the degree of exceeding the monitoring reference value. Send a signal that there is. O for signal acquisition monitoring that receives such a signal
The S board 24 controls the graphic board 28, and as shown in FIG. 9, displays on the screen of the color CRT 29 that each monitoring data in the real-time processing is caution or abnormal. In the above display, for example, if the display is green when normal, yellow when cautioning, and red when abnormal, the displayed contents can be immediately understood and recognized. Further, when a caution or an abnormality is displayed, the online processing or the offline processing being executed on the signal processing diagnostic OS board 33 is interrupted to stop the processing, and various kinds of pumps having an abnormal sign are displayed. Import the data to the signal processing diagnostic OS board 33,
Detailed diagnosis of data with anomalous signs is performed based on various data acquired.

Diagnosis The diagnosis performed in the present invention is classified into a simple diagnosis and a detailed diagnosis.

Among these, the simple diagnosis is the vibration trend (history) of various kinds of captured data, the relationship between the vibration and the rotation speed,
Relationship between vibration and flow rate, pattern analysis of 4 items of phase change, and analysis of 4 items of waterfall analysis, cross-correlation analysis, transfer function analysis, and Lissajous analysis, and further, the result of each pattern analysis and the above By performing a composite diagnosis with the results of each analysis, an abnormal sign of the operation of the pump to be diagnosed is detected based on various data that has been taken in.

Further, the detailed diagnosis uses the various data obtained by the simple diagnosis and the causal matrix showing the relationship between the vibration event and the cause of abnormality as shown in FIG. Then, the abnormal portion and the countermeasure plan are estimated, and as shown in FIG. 21, the estimation result and the confidence factor are color CRT2 together with the pump schematic configuration diagram.
No. 9 is displayed on the screen of the color CRT 29 as shown in FIG. In addition to this, the degree of the abnormal state of the pump is determined based on the result of the detailed diagnosis, and if it is determined that the abnormal state is severe, an operation stop command is issued to the pump.

Next, the details of the operations during the simple diagnosis and the detailed diagnosis will be described with reference to the following flowcharts.

FIG. 7 is a flowchart showing the flow of data processing in the simple diagnosis executed in the present invention.

First, in step 79, the vibration data obtained from the pump to be diagnosed is taken in, and in the following step 80, the process data such as temperature, pressure, flow rate and rotation number obtained from the pump to be diagnosed are also collected. Take in. Next, in step 81, frequency analysis processing of the vibration data is performed, and in subsequent step 82, phase analysis processing of the vibration data is performed. Next, in step 83, trend processing of the vibration data and the process data is performed, and the following step 8
In 4, the effect vector processing of the vibration data is performed. Thereafter, in step 85, the above-mentioned step 81
Through step 84, the overall value (OA) of the vibration data and the process data respectively processed
Value) and a peak value, and based on this, these data are standardized, and the process proceeds to step 86 and step 90.

In one of the shifted steps 86, the pattern analysis of the vibration trend is performed as shown in FIG. 11, and in the following step 87, the pattern analysis of the relationship between the vibration and the rotational speed is performed as shown in FIG. Do.
Next, in step 88, the pattern analysis of the relationship between the vibration and the flow rate is performed as shown in FIG. 13, and in the following step 89, the phase change pattern analysis is performed as shown in FIG.

Further, in the other step 90 thus transferred, the waterfall analysis is carried out as shown in FIG. 16, and in the subsequent step 91, the cross-correlation function analysis is carried out as shown in FIG. Next, step 9
2, the transfer function analysis is performed as shown in FIG. 18, and in the following step 93, as shown in FIG.
Perform Lissajous analysis.

In the subsequent step 94, the vibration data and the vibration data are obtained based on the results of the four types of pattern analysis performed in the steps 86 to 89 and the four types of analysis results in the steps 90 to 93. / Or the above process data is subjected to a composite diagnosis to detect an abnormal sign of the operation of the pump to be diagnosed, and in the following step 95, the result of this simple diagnosis is displayed on the screen of the color CRT 29 as shown in FIG. Next, step 9
In 6, the judgment is made based on the result of this simple diagnosis as to whether or not an abnormal sign is visible in the operation of the pump. If it is judged that no abnormal sign is seen, the process proceeds to the first step 79, and the next diagnosis The vibration data to be captured is fetched, and thereafter, the processes of steps 79 to 96 are repeated. On the other hand, when it is determined that the abnormal sign is visible, the process proceeds to step 97, and then the detailed diagnosis described in detail below is performed.

Next, FIG. 8 is a flow chart showing the flow of data processing in the detailed diagnosis executed in the present invention.

First, in step 98, various data obtained in the simple diagnosis shown in the flow chart of FIG. 7 are obtained, and the obtained various data are read. Next, in step 99, using the various data obtained in step 98 and the causal matrix as shown in FIG. 20, in the X-axis direction on the coupling (drive shaft) side of the rotary shaft of the pump to be diagnosed. On the other hand, various causes of abnormality are diagnosed, and subsequently, in step 100, as in step 100, various causes of abnormality are diagnosed in the Y-axis direction on the coupling side. Then step 1
At 01, various causes of abnormality are diagnosed in the X-axis direction on the anti-coupling (non-driving shaft) side of the rotary shaft, and at step 102, various causes of abnormality are diagnosed in the Y-axis direction on the anti-coupling side. Diagnose the cause of abnormality.

In the next step 103, a comprehensive diagnosis is performed on the coupling side based on the result of the diagnosis performed in steps 99 to 100.
In the following step 104, as in the case of step 103, a comprehensive diagnosis is performed on the anti-coupling side based on the results of the diagnosis performed in steps 101 to 102. Then, in step 105,
Based on the results of the diagnosis performed in steps 103 to 104, a whole diagnosis is performed on the entire rotary shaft (rotation system) of the pump, and in the subsequent step 106, as shown in FIGS. The result of the diagnosis is displayed on the screen of the color CRT 29. Next, in step 107, the degree of abnormality of the pump is determined, and when it is determined that the degree of abnormality is slight, the process proceeds to the first step 98, and in step 98, it is obtained in the simple diagnosis. The following various data are obtained, and thereafter, the processes of steps 98 to 107 are repeated. On the other hand, if it is determined that the degree of abnormality is severe, the process proceeds to step 108, and a command to stop the operation of the pump is generated.

In the flow shown in FIGS. 7 and 8, the processing order between the steps 81 to 84, the processing order between the steps 86 and 89, and the processing order between the steps 90 and 93. , And the processing order between the steps 99 to 100 and the processing order between the steps 101 to 102 can be appropriately changed between the respective steps, and the processing of the step 103 can be changed to the step 1
It is also possible to carry out before the processing of 01.

Here, the display contents displayed on the screen of the color CRT 29 in the process of executing various data processing according to the present invention will be described with reference to the following drawings.

FIG. 9 shows a display screen on which the status of real-time monitoring is displayed together with a menu of diagnostic contents of online data or offline data which is performed by the rotating device abnormality diagnosing device of the present invention.

In FIG. 9, 120 is a color CRT 29.
In the screen frame 121, 121 is one of the display units. On this display unit 121, a vibration OA value monitoring unit 122 of online vibration data that is being monitored in real time and a display unit 126 indicating the status of each monitoring item of the monitoring unit 122 are displayed.
a, a display unit 126b showing the state of each monitoring item of the frequency analysis value in the entire frequency band of the vibration data and the monitoring unit 123, and the monitoring of the frequency analysis value in the specific frequency band of the vibration data. And a display unit 12 showing the status of each monitoring item of the monitoring unit 124.
6c, a process monitoring unit 125 that monitors online process data being monitored in real time, and a display unit 126d that indicates the status of each monitoring item of the monitoring unit 125. Reference numeral 127 denotes a display unit showing the overall state of the vibration data and the process data being monitored in real time, and each of the display units 126a to 126a.
The display content is linked with the display content of 26d. That is,
The vibration OA value monitoring unit 122, the frequency analysis value monitoring unit 123 in all frequency bands, the frequency analysis value monitoring unit 124 in a specific frequency band, and the display units 126a to 126d indicating the status of each monitoring item of the process monitoring unit 125. If all display contents are normal, normal display is performed, and if even one item in the display contents indicates a caution or abnormal state, caution or abnormality is displayed. Further, 128 is a menu showing various diagnostic contents for online data or offline data, and a display unit for displaying the selected diagnostic contents in the menu,
By appropriately selecting the diagnostic content by inputting with the keyboard 32, the display content of the screen display of the display unit 128 can be selected. Here, FIG. 9 is a screen display when the offline data diagnosis process is selected.

Next, FIG. 10 shows an example of a display screen on which the result of the diagnostic process is selectively displayed when diagnosing online data or offline data.

In FIG. 10, reference numeral 130 is a processing name display section showing the type of data being processed, 131 is a device name display section showing the name of the pump being processed, and 132 is a processing selection section. Is a power spectrum (PWS) that is a waveform of the vibration data that is being processed online and frequency analysis of the vibration data and band-split spectrum display is performed.
This is the case when and are displayed.

Further, FIGS. 11 to 19 show examples of display screens displaying the results of various pattern analyzes of various data in the simple diagnosis.
21 and 22 show an example of a display screen displaying the result of the analysis during the detailed diagnosis.

11 to 19, 21 and 22, 1
35a to 135k are name display portions indicating what pattern analysis is performed, and 136a to 136d are couplings (CP).
Display unit 137a, which displays a pattern diagram of the data on the side
Reference numeral 137d is a display unit for displaying a pattern diagram of data on the anti-coupling (CP) side, 138a to 138k are display units for pump names that have been measured and diagnosed, and 139a to 1359k are display units for selecting a process to be performed.

The display contents shown in FIGS. 11 to 19, 21, and 22 will be described below.

FIG. 11 is a display screen for displaying the result of the trend pattern analysis on the captured vibration data. Each of the display portions (1) to (7) is displayed on both the CP side and the anti-CP side.
In, the vertical axis represents the peak-to-peak amplitude of vibration and the horizontal axis represents time. In this display screen, (1) stable patterns 140a and 140b with little fluctuation, (2) random change patterns 141a and 141b that repeat random increase and decrease, and (3) gradually increasing patterns 142a and 1b that gradually increase with time.
42b, (4) Gradual decrease pattern 143a, 143b, (5) Sudden increase pattern 144a, 144b, (6) Sudden decrease at a certain time Sudden decrease pattern 145a, 145b,
(7) Periodic fluctuation pattern 146 that repeatedly increases and decreases
7 types of patterns a, 146b are always displayed, which of the trend patterns of the vibration data corresponds is selected, and the corresponding pattern is displayed in a color different from other patterns. ing.

Next, FIG. 12 is a pattern analysis of the relationship between vibration and rotation speed in the captured vibration data in the X-axis direction (upper half of the screen) and in the Y-axis direction (lower half of the screen). It is a display screen that displays the results, and the CP side and the anti-CP
In each of the display parts (1) to (4) on both sides, the vertical axis represents the peak-to-peak amplitude of vibration and the horizontal axis represents the rotation speed. In this display screen, (1) the gradual increase patterns 150a to 150d in which the vibration gradually increases as the rotation speed increases, and (2) the resonance patterns 151a to 151 in which the vibration has an extreme value at a certain rotation speed.
51d, (3) Sudden increase patterns 152a to 152d in which vibration suddenly increases at a certain number of rotations, (4) Four types of low speed large patterns 153a to 153d in which vibration is large at low speed rotation are always displayed. The pattern of the relationship between the vibration and the rotation speed in the vibration data is selected, and the corresponding pattern is displayed in a color different from that of the other patterns.

Next, FIG. 13 shows the result of pattern analysis of the relationship between the vibration and the flow rate in the vibration data taken in the X-axis direction (upper half of the screen) and the Y-axis direction (lower half of the screen). This is the display screen to be displayed, and is on the CP side
In each of the display parts (1) to (4) on the P side, the vertical axis represents the peak-to-peak amplitude of vibration and the horizontal axis represents the flow rate. In this display screen, (1) the gradual decrease patterns 160a to 160d in which the vibration gradually decreases with an increase in the flow rate, and (2) the sudden decrease patterns 161a to 161 in which the vibration suddenly increases at a certain flow rate.
61d, (3) Extreme value patterns 162a to 162d in which vibration takes an extreme value at a certain flow rate, (4) Gradual increase patterns 163a to 163d in which vibration gradually increases with an increase in the flow rate
4 types of patterns are constantly displayed, and which of the patterns of the relationship between the vibration and the flow rate in the vibration data corresponds is selected, and the corresponding pattern has a different color from other patterns. Is displayed.

Further, FIG. 14 is a display screen for displaying the result of the phase change pattern analysis in the fetched vibration data in the X-axis direction and the Y-axis direction. Each of the display portions (1) to In (6), the circle shows the phase. In this display screen, (1) small phase change patterns 170a to 170d with little phase change, (2) anti-rotation direction movement patterns 171a to 171d in which the phase moves in the direction opposite to the rotation direction, (3) phase changes in the rotation direction. Rotation direction movement patterns 172a to 172d that move to (4) sudden phase change patterns 173a to 173d whose phase is not fixed,
(5) Phase reciprocating patterns 174a to 17 in which phases reciprocate
4d, (6) 6 types of patterns of phase rotation patterns 175a to 175d in which the phase is rotated are always displayed,
Which one of the phase change patterns in the vibration data corresponds is selected, and the corresponding pattern is displayed in a color different from that of the other patterns.

Next, FIG. 15 shows the trend pattern analysis, the pattern analysis of the relationship between vibration and rotation speed, the pattern analysis of the relationship between vibration and flow rate, and the pattern of phase change in the vibration data shown in FIGS. 11 to 14, respectively. analysis,
And, based on the composite diagnosis of waterfall analysis, cross-correlation function analysis, transfer function analysis, and Lissajous analysis shown in the following figures, a display screen displaying the result of a simple abnormality diagnosis that detects an abnormal sign of the vibration data. An example is shown.

In FIG. 15, reference numeral 180 is a vibration trend pattern analysis result, 181 is a pattern analysis result of a relationship between vibration and rotation speed, 182 is a pattern analysis result of a relationship between vibration and flow rate, and 183 is a phase change pattern analysis result. 184 is one display example showing the appearance of the phenomenon of the abnormal sign detected based on the composite diagnosis.

Next, FIG. 16 is a display screen for displaying the result of the waterfall analysis in the simple diagnosis. The vertical axis shows acceleration, the horizontal axis shows frequency, and the diagonal axis shows time. In this waterfall analysis, vibration data is subjected to frequency analysis, and time-series changes in the power spectrum (PWS) of the divided frequency bands are obtained, and trend changes in all frequency bands can be objectively captured. , In the simple diagnosis, see how the level of vibration data changes for each frequency band over time, determine the frequency band with a large level change based on the normal value, and detect the abnormal sign. It is used to detect.

Further, FIG. 17 is a display screen for displaying the result of the cross-correlation function analysis in the simple diagnosis, and the horizontal axis shows time. This cross-correlation function analysis seeks changes in the propagation path and time delay of the captured vibration data.
In the simple diagnosis, the amount of change is discriminated on the basis of the normal value, and is used for detecting an abnormal sign.

Next, FIG. 18 is a display screen for displaying the result of the transfer function analysis in the simple diagnosis. In the upper half of the screen, the vertical axis is the phase angle, the horizontal axis is the frequency, and the screen In the lower half, the vertical axis represents gain and the horizontal axis represents frequency. In this transfer function analysis, the transfer characteristics are obtained based on the data obtained by performing Fourier transform on two time domain data and converting the data into data in a predetermined frequency range. Is used as a reference to determine the amount of change in the characteristic, and is used to detect an abnormal sign.

Next, FIG. 19 is a display screen for displaying the result of the Lissajous analysis in the simple diagnosis, which is a normal Lissajous display. This Lissajous analysis is a composite wave of data in both horizontal and vertical directions (Lissajous)
It is possible to objectively grasp the axis swinging direction, etc., and in the simple diagnosis, the amount of change in the amplitude in each axis direction is discriminated based on the value at the time of normality, and the abnormality sign of It is effective for detection.

FIG. 21 is a display screen displaying the estimated cause and estimated position obtained in the detailed diagnosis.

In FIG. 21, reference numeral 190 is a diagnostic result display unit for displaying the estimated cause and certainty factor together, and 191 is an abnormal position estimation result for displaying the schematic configuration diagram of the pump and the estimated position of occurrence of abnormality. Is a display section of. in this case,
The estimated cause is shown in a concrete form on the display unit 190, and at the same time, the certainty factor is shown as a numerical value. On the display unit 191, the estimated position of occurrence of abnormality is concretely shown in the schematic configuration diagram.

Further, FIG. 22 is a display screen for displaying the probable cause obtained in the detailed diagnosis and its countermeasure plan.

In FIG. 22, reference numeral 192 is a display portion of the diagnosis result which displays the estimated cause and the certainty factor together, and 193 is a display portion of a concrete measure plan for the estimated cause obtained by the detailed diagnosis. In this case, the display content of the display unit 192 is the same as that of the display unit 190, and the display unit 193 shows a concrete measure (guidance) corresponding to the display content of the display unit 192.

Finally, FIG. 20 is a causal matrix listing the relationships between vibration events and abnormal factors that are the basis for calculating the confidence factor of the abnormal cause in the detailed diagnosis. In this causal matrix, failure causes are listed, and what kind of correlation each frequency component in the vibration data has with these failure causes is shown. The degree of correlation depends on the number of stars. Is represented. And the part where the number of stars is zero is completely uncorrelated, the part where the number of stars is one is slightly correlated, the part where the number of stars is two is quite correlated, and the number of stars is three Each part shows that there is a close correlation.

The causal matrix is mainly
It is obtained based on empirical rules, and its contents may be appropriately changed depending on the situation.

In the above embodiments, the case where the rotating device abnormality diagnosing device according to the present invention is applied to a pump has been described. However, the application target of the present invention is not limited to the pump, and other rotating devices such as, for example, , A motor, a steam turbine, and the like.

Further, the types and installation positions of various sensors permanently installed in the rotating device to be diagnosed are not limited to the types and installation positions shown in the embodiments, and the characteristics of the rotating device to be diagnosed and its use or It can be appropriately selected depending on the arrangement situation.

Furthermore, the flow of processing various data and the contents of the display screen of the color CRT are not limited to those already described, but may be changed as appropriate without departing from the technical idea thereof. Is possible.

[0102]

As described above, according to the present invention,
Data is acquired online for monitoring and diagnosis of multiple important rotating devices, and offline data is acquired for monitoring and diagnosis of other multiple rotating devices, and simple diagnosis is performed for these data. Since the detailed health check is used together with the detailed health check so that the soundness of the operation of the entire rotating machine is diagnosed, it can be used for a plant, for example, even though a single rotating machine abnormality diagnosis device is used. It has the effect of organically monitoring and diagnosing all rotating equipment.

Further, according to the present invention, since the real-time monitoring is always performed for the monitoring and diagnosis of a plurality of important rotating devices, the abnormality of the operation of the rotating devices of the main part can be detected at an early stage. Since it is possible to find out and take measures against it, there is also an effect that it is possible to remarkably improve the reliability of a plant or the like using the rotating device.

[Brief description of drawings]

FIG. 1 is a block configuration diagram showing an outline of a rotating device abnormality diagnosis apparatus according to the present invention.

FIG. 2 is a configuration diagram showing an embodiment in which the rotating device abnormality diagnosis device of the present invention is applied to a pump.

FIG. 3 is a flow chart comprehensively showing a processing flow of the rotating device abnormality diagnosing device of the present invention.

FIG. 4 is a block diagram showing an example of a data collection device.

FIG. 5 is a flowchart showing a procedure of vibration data collection performed by the data collection device.

FIG. 6 is a recording waveform diagram when vibration data is recorded on a magnetic tape of the data collection device.

FIG. 7 is a flowchart showing a flow of processing at the time of simple diagnosis of the present invention.

FIG. 8 is a flowchart showing a flow of processing at the time of detailed diagnosis of the present invention.

FIG. 9: CRT displayed when processing offline data
It is a figure which shows an example of a display screen.

FIG. 10: CR displayed when processing online data
It is a figure which shows an example of a T display screen.

[Fig. 11] C displaying the result of vibration trend pattern analysis
It is a figure which shows a RT display screen.

FIG. 12 is a diagram showing a CRT display screen displaying a pattern analysis result of the relationship between vibration and frequency.

FIG. 13 is a diagram showing a CRT display screen displaying a pattern analysis result of the relationship between vibration and flow rate.

FIG. 14 is a diagram showing a CRT display screen on which a result of vibration phase change pattern analysis is displayed.

FIG. 15 is a diagram showing a CRT display screen displaying an example of a result of a composite diagnosis.

FIG. 16: CR displaying the results of waterfall analysis
It is a figure which shows T display screen.

FIG. 17 is a diagram showing a CRT display screen displaying a cross-correlation function analysis result.

FIG. 18 is a diagram showing a CRT display screen displaying a transfer function analysis result.

FIG. 19 is a diagram showing a CRT display screen displaying a Lissajous analysis result.

FIG. 20 is a diagram showing an example of a configuration of a causal matrix.

FIG. 21 is a diagram showing a CRT display screen showing an example of display of a detailed diagnosis result.

FIG. 22 is a CRT showing another example of the display of the detailed diagnosis result.
It is a figure which shows a display screen.

[Explanation of symbols]

1 Permanent sensors 2 Other sensors 3 Online data collection unit 4 Offline data collection unit 5 First computer 6 Interface 7 Second computer 8 ₁ , 8 ₂ Vibration sensor (vibrometer) 9 ₁ , 9 ₂ , 9 ₃ and 9 ₄ Temperature sensor (thermometer) 10 ₁ and 10 ₂ Pressure sensor (pressure gauge) 11 ₁ and 11 ₂ Flow rate sensor (flow meter) 12 Rotation sensor (pulse meter) 13 Data conversion unit 14 Filter 15 Data acquisition device 16 data recorder 17 high-speed AI board 18 AI board 19 GP-IB board 20 FFT board 21 overall (OA) monitoring board 22 frequency component monitoring board 23 process monitoring board 24 signal acquisition monitoring OS board 25 memory board 26 disk control board 27 external Storage device 28 Board 29 color CRT (cathode ray tube) 30 O board 31 printer 32 keyboard 33 signal processing diagnostic OS board 34 bus lines

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Hiroyuki Katsura 603 Jinritsu-cho, Tsuchiura-shi, Ibaraki Prefecture Hiritsu Manufacturing Co., Ltd. Tsuchiura factory

Claims (18)

[Claims] 1. A rotating device abnormality diagnosis apparatus for diagnosing an abnormal operation of the rotating device using various data obtained at a diagnostic location of the rotating device, and a sensor permanently installed in the rotating device and various data from the sensor. Means for capturing online, various means for capturing various data recorded on a recording medium offline, first and second computers, various data captured online and various data captured offline second First diagnostic means for supplying abnormality data to these computers and various data captured online to the first computer for constant real-time monitoring.
An abnormality determining means for interrupting the second computer when the data has an abnormality sign, and a detailed diagnosis of the data having the abnormality sign by the second computer at the time of the interruption using the related data. And a display unit for displaying the results of the first and second diagnoses. 2. A rotating device abnormality diagnosis apparatus for diagnosing an abnormal operation of the rotating device by using various data obtained at a diagnostic portion of the rotating device, and a sensor permanently installed in the rotating device and various data from the sensor. Means for capturing data online, means for capturing various data recorded on a recording medium offline, first and second computers, and data for monitoring and analyzing various data captured online and various data captured offline Data processing means for performing processing, various data captured online and offline, storage means for storing various data after the data processing, and various data captured online or offline after the data processing are selectively The first diagnosis for supplying the second computer to the second computer to diagnose the abnormality of the data. Disconnection means, an abnormality determination means for supplying various data taken in online to the first computer to constantly monitor in real time, and to interrupt the second computer when there is an abnormality in the data, Second diagnostic means for performing detailed diagnosis of the data having the abnormality sign by the second computer at the time of interruption using the related data in the storage means, the diagnostic result of the first diagnostic means, and the second diagnostic means. And a display means for displaying the diagnosis result of the diagnosis means each time the diagnosis is made. 3. A sensor permanently installed in the rotating equipment detects a vibration sensor permanently installed at a vibration data diagnostic location of an important rotating equipment and a temperature, pressure, flow rate and rotation speed permanently installed at various process data diagnostic locations. The rotating device abnormality diagnosing device according to claim 1 or 2, which is various sensors. 4. The rotating device abnormality diagnosis device according to claim 3, wherein the vibration sensor is composed of a vibration sensor having two or more axes capable of simultaneously measuring at least two vibrations. 5. The means for fetching the various data online comprises a high-speed AI circuit for accepting vibration data from which unnecessary frequency components have been removed and an AI circuit for accepting process data. The rotating device abnormality diagnosis device described. 6. The means for capturing various data recorded on the recording medium off-line includes a data reproducing means for reproducing vibration data of a general-purpose rotating device recorded on the recording medium of a portable data collecting means, and an unnecessary means. A high-speed AI circuit that receives the reproduced vibration data from which frequency components have been removed, an input device that manually inputs process data of a general-purpose rotating device recorded on the recording medium, and an input device that receives process data from the input device. The rotating device abnormality diagnosing device according to claim 1 or 2, comprising an output circuit. 7. A data processing means for performing data processing such as monitoring and analysis of the fetched various data, FFT means for performing FFT processing of vibration data, and OA of vibration data.
The OA value monitoring means for monitoring the value, the frequency analysis value monitoring means for monitoring the frequency analysis value of the vibration data, and the process data monitoring means for monitoring the process data. Rotating equipment abnormality diagnosis device. 8. The rotating device according to claim 2, wherein the storage means for storing the various data includes an internal storage device for temporarily storing the data and an external storage device for permanently storing the data. Equipment abnormality diagnosis device. 9. The first diagnosing means is constantly diagnosing an abnormality of various data taken in online.
3. The rotating device abnormality diagnosing device according to claim 1 or 2, which is selected so as to perform an abnormality diagnosis of various kinds of data taken in offline as required. 10. The four items of the vibration trend, the relationship between vibration and frequency, the relationship between vibration and flow rate, and the phase change, with respect to various data that have been captured,
3. The rotating device abnormality diagnosing device according to claim 1, wherein pattern classification of the factors is performed, and the abnormality diagnosis is performed by combining the pattern classifications. 11. The abnormality determining means for determining in real time whether or not there is an abnormality sign of various data taken in online is always an OA value of vibration for at least one data taken online, a vibration level in all frequency regions, The vibration level in the specific frequency region and the process data are monitored for four types, and if any one of the monitored items of the data exceeds the specified value or the rate of change is the same. The rotating device abnormality diagnosing device according to claim 1 or 2, wherein an interrupt is issued to the second computer when the specified value is exceeded. 12. The second diagnosis means performs diagnosis of vibration data obtained on the drive shaft side of the rotating device to be diagnosed and diagnosis of vibration data obtained on the non-drive shaft side of the rotating device. 3. The rotating device abnormality diagnosing device according to claim 1, wherein the rotating device abnormality diagnosis is performed separately, and finally, the results of the two diagnoses are combined to diagnose the entire rotating device. 13. The rotating device abnormality diagnosing device according to claim 1, wherein the display unit includes a graphic control unit and a CRT display unit. 14. The display means, as a display of the diagnosis result of the first diagnosis means, should be diagnosed on the screen of the CRT display means together with the type of data being processed and the name of the rotating device to be diagnosed. The diagnostic status of the entire rotating device and the individual diagnostic status of the data monitored in real time are simultaneously displayed.
2. A rotating device abnormality diagnosis device according to 2 above. 15. A comprehensive diagnosis result of data monitored in real time while the overall diagnosis state is displayed, and
The individual diagnostic result of the data monitored in real time while the individual diagnostic status is displayed is displayed by one of three types of normal, caution, and abnormal. Item 13. A rotating device abnormality diagnosis device according to item 13. 16. One of three types, normal, caution, and abnormal.
15. The rotating device abnormality diagnosing device according to claim 14, wherein when the two displays are performed, the normal display is green, the caution display is yellow, and the abnormal display is red. 17. The display means, as a display of a diagnosis result of the second diagnosis means, a diagnosis result including at least a presumed cause and a certainty factor on a screen of the CRT display means, and at least an outline of a rotating device. 3. The rotating device abnormality diagnosing device according to claim 1, wherein an estimated position including a configuration diagram, an abnormal portion, and an estimated cause is displayed at the same time. 18. The display means, as a display of the diagnosis result of the second diagnosis means, a diagnosis result including at least an estimated cause and a certainty factor on the screen of the CRT display means, and at least a countermeasure for the diagnosis result. 3. The rotating device abnormality diagnosing device according to claim 1, wherein a measure, a probable cause, and a measure including the certainty factor are displayed at the same time.