CN106482828A - A kind of checkout and diagnosis device and method of Fault Diagnosis of Aeroengines - Google Patents
A kind of checkout and diagnosis device and method of Fault Diagnosis of Aeroengines Download PDFInfo
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- CN106482828A CN106482828A CN201611059801.0A CN201611059801A CN106482828A CN 106482828 A CN106482828 A CN 106482828A CN 201611059801 A CN201611059801 A CN 201611059801A CN 106482828 A CN106482828 A CN 106482828A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
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Abstract
The present invention provides a kind of checkout and diagnosis device and method of Fault Diagnosis of Aeroengines, and this device includes：Three-axial vibration sensor is arranged on the fault aero-engine casing of vibration exceeding the standard, the level of measurement fault aero-engine, vertical and axial vibration；Vibration analyzer is three-axial vibration sensor power and detects Vibration Fault Signal；Vibration Fault Signal according to detecting obtains vibration fault characteristic spectrum, and vibration fault characteristic spectrum and vibration signal are exported to industrial computer；Industrial computer：Fault Fault Diagnosis of Aeroengines diagnosis is carried out according to Vibration Fault Signal, is diagnosed to be the vibration fault type of this aero-engine generation；The present invention is applied to complete machine oscillation test analysis during aero-engine bench test drive, vibrating failure diagnosis and exclusion field, can also be used for Vibration Analysis and the diagnosis of outfield engines ground test run and aircraft flight, and core engine carries out in process of the test, vibration fault being analyzed diagnosing.
Description
Technical field
The present invention relates to aero-engine technology field is and in particular to a kind of checkout and diagnosis of Fault Diagnosis of Aeroengines
Device and method.
Background technology
More than the 90% of aero-engine structural strength fault is led to by vibration or relevant with vibration.Lead to occur these now
As the reason mainly in design and use to complete machine oscillation understanding not deeply, do not have systematic design courses, examination
Test means of testing and analysis method backwardness and evaluation criterion imperfection etc..
Aero-engine vibration analysis diagnostic techniquess mainly adopt single shaft vibrating sensor at present, measurement horizontally or vertically side
To vibration, application FFT spectrum analysis or rotating-speed tracking technology Vibration Fault Signal is analyzed diagnose.
The shortcoming of prior art is：
1) vibrating sensor is arranged on casing, and the vibration signal of diverse location pickup is affected also not by bang path
With impact vibration analysis diagnostic result；
2) axial vibration is the important information during engine luggine fault analysis and diagnosis, and misaligning fault to judgement has
The electromotor of important function, sizing cannot be installed.Same observation station three-way vibration is monitored analyzing, for aeroplane engine simultaneously
Process that machine vibration fault diagnosis does not have evaluation criterion it is impossible to guide field vibration-testing and row shake.
Content of the invention
In view of the shortcomings of the prior art, the present invention provides a kind of checkout and diagnosis device of Fault Diagnosis of Aeroengines
And method, it is therefore an objective to monitor the three-way vibration during aeroengine test run, is analyzed to vibration fault aero-engine,
Instruct aeroengine test run and assembling row to shake process, improve aeroengine test run qualification rate and row shakes success rate.
The technical scheme is that：
A kind of checkout and diagnosis device of Fault Diagnosis of Aeroengines, including：
Three-axial vibration sensor：It is arranged on the fault aero-engine casing of vibration exceeding the standard, measurement fault aviation is sent out
The level of motivation, vertical and axial vibration；
Vibration analyzer：For three-axial vibration sensor power and detect Vibration Fault Signal；According to the vibration detecting
Fault-signal obtains vibration fault characteristic spectrum, and vibration fault characteristic spectrum and vibration signal are exported to industrial computer；
Industrial computer：Fault Fault Diagnosis of Aeroengines diagnosis is carried out according to Vibration Fault Signal, is diagnosed to be this aviation and sends out
The vibration fault type that motivation occurs；According to corresponding to Fault Diagnosis of Aeroengines case database and Vibration Fault Signal
Vibration fault characteristic spectrum, determines the failure cause of this aero-engine, trouble location, row's vibration means.
Described industrial computer is provided with：
Fault Diagnosis of Aeroengines case database：Storage different faults type corresponding vibration performance collection of illustrative plates, fault
Reason, trouble location, row's vibration means；
Fault diagnosis module：Apply the BP neural network training according to historical vibration fault-signal and fault type, right
Current vibration fault-signal carries out vibrating failure diagnosis, determines fault diagnosis result and corresponding failure cause, trouble location, row
Vibration means.
Described industrial computer is additionally provided with：
BP neural network training module：Periodically BP neural network instruction is carried out according to historical vibration fault-signal and fault type
Practice, and corresponding for Vibration Fault Signal fault type, vibration performance collection of illustrative plates, failure cause, trouble location, row's vibration means are updated
To Fault Diagnosis of Aeroengines case database.
The method that Fault Diagnosis of Aeroengines checkout and diagnosis are carried out using described device, including：
Step 1, three-axial vibration sensor are arranged in the fault aero-engine of vibration exceeding the standard, measurement level, vertical
With axial vibration, vibration analyzer is three-axial vibration sensor power；
Step 2, vibration analyzer detection Vibration Fault Signal, the Vibration Fault Signal according to detecting obtains vibration fault
Characteristic spectrum, vibration fault characteristic spectrum and Vibration Fault Signal are exported to industrial computer；
Step 3, industrial computer carry out Fault Diagnosis of Aeroengines diagnosis according to Vibration Fault Signal, are diagnosed to be this aviation and send out
The vibration fault type that motivation occurs；Vibration according to corresponding to engine luggine fault case data base and Vibration Fault Signal
Fault signature collection of illustrative plates, determines the failure cause of this aero-engine, trouble location, row's vibration means.
Described step 3, including：
Step 3.1, periodically BP neural network training is carried out according to historical vibration fault-signal and fault type, and will vibrate
The corresponding fault type of fault-signal, vibration performance collection of illustrative plates, failure cause, trouble location, row's vibration means are updated to aeroplane engine
Machine vibration fault case data base；
Step 3.2, the BP neural network that trained according to historical vibration fault-signal and fault type of application, to currently shaking
Dynamic fault-signal carries out vibrating failure diagnosis, determines fault diagnosis result, including fault type and corresponding failure cause, fault
Position, row's vibration means.
Beneficial effect：
Apparatus of the present invention and method are applied to complete machine oscillation test analysis, vibration fault during aero-engine bench test drive and examine
Disconnected with exclusion field it can also be used to the Vibration Analysis of outfield engines ground test run and aircraft flight and diagnosis, with
And core engine carries out in process of the test, vibration fault being analyzed diagnosing.Meanwhile, instruct engine assembly process, strict control
Engine assembly process emphasis parameter.Engine luggine fault diagnosis system, accumulates global vibration of engine data, improves vibration
Analysis level, improves engine test qualification rate and row and shakes success rate.
Brief description
Fig. 1 is the checkout and diagnosis apparatus structure block diagram of the Fault Diagnosis of Aeroengines in the specific embodiment of the invention；
Fig. 2 is the Fault Diagnosis of Aeroengines case database functional block diagram in the specific embodiment of the invention；
Fig. 3 is the fault aero-engine oscillating curve figure in the specific embodiment of the invention；
Fig. 4 is the fault aero-engine spectrogram in the specific embodiment of the invention.
Specific embodiment
Below in conjunction with the accompanying drawings the specific embodiment of the present invention is elaborated.
A kind of checkout and diagnosis device of Fault Diagnosis of Aeroengines, as shown in figure 1, include：
Three-axial vibration sensor：It is arranged on the fault aero-engine casing that vibration exceeding the standard occurs, measure level, hang down
Straight and axial vibration；B＆K4321V type three-axial vibration sensor is selected, good stability, reliability are high in present embodiment,
It is internally integrated ICP circuit, single screw is installed, suitable production scene uses.B＆K 4321V type three-axial vibration sensors X, Y, Z
Measurement aero-engine level, vertical and axial vibration acceleration signal respectively.
Vibration analyzer：For three-axial vibration sensor power and detect Vibration Fault Signal；According to the vibration detecting
Fault-signal obtains vibration fault characteristic spectrum, and vibration fault characteristic spectrum and Vibration Fault Signal are exported to industrial computer；This
In embodiment, B＆K 4321V type three-axial vibration sensor turns BNC wire and B＆K3050 type vibration analysis by three Q9
Instrument connects, and vibration analyzer is three-axial vibration sensor power, the vibration signal of detection exchange simultaneously；Vibration analyzer software has
Have from the function such as spectrum, cross-spectrum, phase contrast, analyze Vibration Fault Signal in real time, vibration fault feature is represented in the form of picture
I.e. vibration fault characteristic spectrum；The file of .dat form is converted into .mat form by vibration analyzer.
Industrial computer：Fault Diagnosis of Aeroengines diagnosis is carried out according to Vibration Fault Signal, is diagnosed to be this aero-engine
The vibration fault type occurring；Vibration according to corresponding to Fault Diagnosis of Aeroengines case database and Vibration Fault Signal
Fault signature collection of illustrative plates, determines the failure cause of this aero-engine, trouble location, row's vibration means.
Described industrial computer is provided with vibrating failure diagnosis system, including：
BP neural network training module：Periodically BP neural network instruction is carried out according to historical vibration fault-signal and fault type
Practice, and by corresponding for Vibration Fault Signal fault type, vibration fault characteristic spectrum, failure cause, trouble location, row vibration means
It is updated to Fault Diagnosis of Aeroengines case database；
Fault Diagnosis of Aeroengines case database：Storage different faults type corresponding vibration performance collection of illustrative plates, fault
Reason, trouble location, row's vibration means；Described fault type includes determining that aeroplane engine machine vibration is normal, uneven, touches and rub；
Each of typing test run time vibration fault electromotor (part platform is gone back in Fault Diagnosis of Aeroengines case database
Subnormal machine) row shakes data, figure and the measure of links, including：
◇ vibration signal oscillography curve；
Certainly spectrum, cross-spectrum, the phase contrast analysis result of the vibration analysis software in ◇ B＆K3050 type vibration analyzer；
◇ aero-engine repairs fabrication data, vibration major control measure；
Vibration and row the are shaken measure playing a crucial role and the parameter determining after ◇ comprehensive analysis, being capable of basic explanation vibration
Position and Producing reason.
Fault Diagnosis of Aeroengines case database major function is divided into three parts：Data maintenance function, data query
Function, database management function, as shown in Figure 2.
Fault diagnosis module：Apply the BP neural network training according to historical vibration signal and fault type, to current
Vibration signal carries out vibrating failure diagnosis, determines fault diagnosis result and corresponding failure cause, trouble location, row's vibration means.
The method that Fault Diagnosis of Aeroengines checkout and diagnosis are carried out using described device, including：
Step 1, three-axial vibration sensor are arranged on fault aero-engine casing, measurement level, vertical and axial direction
Vibration, vibration analyzer be three-axial vibration sensor power；
Step 2, vibration analyzer detection Vibration Fault Signal, the Vibration Fault Signal according to detecting obtains vibration performance
Collection of illustrative plates, vibration fault characteristic spectrum and Vibration Fault Signal are exported to industrial computer；
Fault aero-engine oscillating curve is as shown in Figure 3；Fault aero-engine frequency spectrum is as shown in Figure 4.
Step 3, industrial computer carry out Fault Diagnosis of Aeroengines diagnosis according to Vibration Fault Signal, are diagnosed to be this aviation and send out
The vibration fault type that motivation occurs；According to corresponding to Fault Diagnosis of Aeroengines case database and Vibration Fault Signal
Vibration fault characteristic spectrum, determines the failure cause of this aero-engine, trouble location, row's vibration means.
Described step 3, including：
Step 3.1, periodically BP neural network training is carried out according to historical vibration fault-signal and fault type, and will vibrate
The corresponding fault type of fault-signal, vibration fault characteristic spectrum, failure cause, trouble location, row's vibration means are updated to aviation
Engine luggine fault case data base；
Step 3.2, the BP neural network that trained according to historical vibration fault-signal and fault type of application, to currently shaking
Dynamic fault-signal carries out vibrating failure diagnosis, determines fault diagnosis result, including fault type and corresponding failure cause, fault
Position, row's vibration means.
Table 1：Fault diagnosis result
Table 2：Fault Diagnosis of Aeroengines result
Claims (5)
1. a kind of checkout and diagnosis device of Fault Diagnosis of Aeroengines is it is characterised in that include：
Three-axial vibration sensor：It is arranged on aero-engine casing, measure level during aeroengine test run, hang down
Straight and axial vibration；
Vibration analyzer：For three-axial vibration sensor power and detect vibration signal；Vibration signal according to detecting obtains
Vibration performance collection of illustrative plates, vibration performance collection of illustrative plates and vibration signal are exported to industrial computer；
Industrial computer：Fault Diagnosis of Aeroengines diagnosis is carried out according to vibration signal, is diagnosed to be shaking of this aero-engine generation
Dynamic fault type；Vibration performance collection of illustrative plates according to corresponding to Fault Diagnosis of Aeroengines case database and vibration signal, really
The failure cause of this aero-engine fixed, trouble location, row's vibration means.
2. device according to claim 1 is it is characterised in that described industrial computer is provided with：
Fault Diagnosis of Aeroengines case database：Storage different faults type corresponding vibration performance collection of illustrative plates, failure cause,
Trouble location, row's vibration means；
Fault diagnosis module：Apply the BP neural network training according to historical vibration signal and fault type, to current vibration
Signal carries out vibrating failure diagnosis, determines fault diagnosis result and corresponding failure cause, trouble location, row's vibration means.
3. device according to claim 2 is it is characterised in that described industrial computer is additionally provided with：
BP neural network training module：Periodically BP neural network training is carried out according to historical vibration signal and fault type, and will
The corresponding fault type of vibration signal, vibration performance collection of illustrative plates, failure cause, trouble location, row's vibration means are updated to aeroplane engine
Machine vibration fault case data base.
4. using the device described in claim 1 carry out Fault Diagnosis of Aeroengines checkout and diagnosis method it is characterised in that
Including：
Step 1, three-axial vibration sensor measure level, vertical and axial vibration during aeroengine test run, shake
Dynamic analyser is three-axial vibration sensor power；
Step 2, vibration analyzer detection vibration signal, the vibration signal according to detecting obtains vibration performance collection of illustrative plates, will vibrate
Characteristic spectrum and vibration signal export to industrial computer；
Step 3, industrial computer carry out Fault Diagnosis of Aeroengines diagnosis according to vibration signal, are diagnosed to be this aero-engine and occur
Vibration fault type；Vibration performance collection of illustrative plates according to corresponding to engine luggine case database and vibration signal, determining should
The failure cause of aero-engine, trouble location, row's vibration means.
5. the method for Fault Diagnosis of Aeroengines checkout and diagnosis according to claim 3 is it is characterised in that described step
3, including：
Step 3.1, periodically BP neural network training is carried out according to historical vibration signal and fault type, and vibration signal is corresponded to
Fault type, vibration performance collection of illustrative plates, failure cause, trouble location, row vibration means be updated to Fault Diagnosis of Aeroengines case
Example data base；
The BP neural network that step 3.2, application train according to historical vibration signal and fault type, enters to current vibration signal
Row vibrating failure diagnosis, determine fault diagnosis result, shake and arrange including fault type and corresponding failure cause, trouble location, row
Apply.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108228977A (en) * | 2017-12-14 | 2018-06-29 | 中国航空工业集团公司上海航空测控技术研究所 | A kind of helicopter vibration feature translation method based on flight status parameter |
| CN108896850A (en) * | 2018-07-20 | 2018-11-27 | 浙江浙能常山天然气发电有限公司 | A kind of detection method of the sulfur hexafluoride sealed combination electrical equipment of three shaft vibrations technology |
| CN110457861A (en) * | 2019-08-22 | 2019-11-15 | 佛山科学技术学院 | A visual diagnosis platform and construction method of airborne turboshaft engine power system |
| CN111779573A (en) * | 2020-06-28 | 2020-10-16 | 河南柴油机重工有限责任公司 | Method and device for online fault detection of diesel engine |
| CN112556826A (en) * | 2020-12-17 | 2021-03-26 | 泉州市名咨科迅信息科技有限公司 | Computer-based engine on-site real-time detection method and material rack thereof |
| CN114076680A (en) * | 2020-08-17 | 2022-02-22 | 北京福田康明斯发动机有限公司 | Engine assembly detection method, system, storage medium and electronic device |
| CN115265765A (en) * | 2022-08-12 | 2022-11-01 | 大连理工大学 | Analysis and processing method for vibration data of flying auxiliary casing |
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| CN112556826A (en) * | 2020-12-17 | 2021-03-26 | 泉州市名咨科迅信息科技有限公司 | Computer-based engine on-site real-time detection method and material rack thereof |
| CN115265765A (en) * | 2022-08-12 | 2022-11-01 | 大连理工大学 | Analysis and processing method for vibration data of flying auxiliary casing |
| CN115265765B (en) * | 2022-08-12 | 2024-12-06 | 大连理工大学 | A method for analyzing and processing vibration data of flight attachment casing |
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Application publication date: 20170308 |