CN105807716B - Remanufacturing Machine Tool Health Monitoring System - Google Patents
Remanufacturing Machine Tool Health Monitoring System Download PDFInfo
- Publication number
- CN105807716B CN105807716B CN201610331590.5A CN201610331590A CN105807716B CN 105807716 B CN105807716 B CN 105807716B CN 201610331590 A CN201610331590 A CN 201610331590A CN 105807716 B CN105807716 B CN 105807716B
- Authority
- CN
- China
- Prior art keywords
- sensor
- lathe
- main shaft
- machine tool
- vibration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 50
- 230000036541 health Effects 0.000 title claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000003754 machining Methods 0.000 abstract description 4
- 238000000034 method Methods 0.000 description 18
- 238000004458 analytical method Methods 0.000 description 9
- 238000001514 detection method Methods 0.000 description 5
- 238000006073 displacement reaction Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000005314 correlation function Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 230000005662 electromechanics Effects 0.000 description 1
- 238000012407 engineering method Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 239000013067 intermediate product Substances 0.000 description 1
- 238000011089 mechanical engineering Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
- 238000007514 turning Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Machine Tool Sensing Apparatuses (AREA)
- Numerical Control (AREA)
Abstract
The present invention provides one kind and remanufactures lathe health monitoring systems, including lathe, electrical control cabinet and master control processing system, lathe is equipped with main shaft and knife rest, the front and back end of main shaft is equipped with bearing, it has been fixed by the bracket two first vibrating sensors on the mutually perpendicular position in the front and back end of main shaft, has been fixed with the second vibrating sensor and temperature sensor on bearing；The second vibrating sensor is fixed on three directions of knife rest；It is additionally provided with cutter on knife rest, is fixed with temperature sensor on cutter；Cabinet leg is additionally provided with the first vibrating sensor；Electrical control cabinet is equipped with voltage transmitter, current transducer and current transformer；Lathe is connect with the corresponding circuits of the electrical control cabinet, and current transducer is connect with current transformer, and the first vibrating sensor, the second vibrating sensor, temperature sensor, voltage transmitter and current transducer are connected to master control processing system.The present invention can have found machine failure in time；Workpiece machining surface quality can be monitored in real time.
Description
Technical field
The present invention relates to field of mechanical technique more particularly to one kind to remanufacture lathe health monitoring systems.
Background technique
As modern machinery and equipment is increasingly sophisticated and accurate, the harmfulness of failure is further serious, fault diagnosis technology by
The attention of height.By the double drive of technological progress and the market expansion, mechanical failure diagnostic method is just towards diversification and intelligence
The direction of energyization is developed, while mechanical fault diagnosis ability is also the professional ability of Present Mechanical Engineering Shi Bibei.
Lathe is remanufactured by after numerical control transformation, practical NC postprocessing, but the stability run is double due to system and price
Factor influences, and the operating condition of real-time monitoring system is used for currently without monitoring system, and supervises in real time to the surface quality of processing
Control.
, application No. is 201310368189.5 Chinese invention, numerically-controlled machine tool is being disclosed filed on 08 20th, 2013
A kind of monitoring system for numerical control machine in field, including information acquisition unit, feature extraction unit and state recognition unit, institute
Stating information acquisition unit includes the monitoring sensor that signal output end is connected on signal detection module, the feature extraction unit
It is connected to the signal processing module on the signal detection module including signal input part, the signal of the signal processing module is defeated
Outlet is connected with the signal input part of characteristic extracting module, and the state recognition unit includes that signal input part is connected to feature and mentions
Expert system module on modulus block, the signal output end of the expert system module and the signal input part of state recognition module
It is connected.It is not to realize real-time lathe health monitoring, to processing matter although the purpose of on-line monitoring also may be implemented in the invention
The on-line monitoring of amount, and the purpose of real-time early warning.
, application No. is 201120133898.1 Chinese utility model, it is being related to a kind of number filed on 04 29th, 2011
Machine tool monitoring system is controlled, which includes: background monitoring host, intelligent interface device and intelligent acquisition device；Background monitoring master
Machine connects at least one intelligent interface device by Ethernet, each intelligent interface device be equipped with one for connect backstage prison
The Ethernet interface of control host connect the communication interface of 485 communication buses with one, is connected at least on 485 communication bus
One intelligent acquisition device, each intelligent acquisition device correspond to several lathes.Above-mentioned machine tool monitoring system, by by each lathe
Status switch correspondence collect intelligent acquisition equipment, then background monitoring host is uploaded to by intelligent acquisition equipment.It can not only
Different workshops effectively in one factory of access, different times, different manufacturers machine tool, pass through background monitoring host and realize pair
The monitoring of all access lathes, improves the efficiency of plant produced.Although the mesh of on-line monitoring also may be implemented in the utility model
, but be not to realize real-time lathe health monitoring, the on-line monitoring to processing quality, and the purpose of real-time early warning.
Application No. is 201110045763.4 Chinese inventions filed on February 25th, 2011, a kind of numerical control is proposed
The method of lathe turning stability monitoring, is related to monitoring technical field.Due to the continuous improvement of servo-system performance, response speed
Degree, sensibility etc. are also continuously improved, and therefore, the state of lathe can obtain instead on the electric current of driving motor during the cutting process
It reflects.In the invention, method extracts multiple characteristic values of current signal through various signal processing, establishes significant condition vector conduct
The input of mathematical model, then by the analytical calculation of mathematical model, export the cutting state of lathe.Since electric current is believed in the invention
Number strong interference immunity, the features such as being easy to acquire, is few using auxiliary tool, relative to having in its operation of current many monitoring methods
Have the advantages that simple and easy, monitoring effect is good, it is easier to realize to the on-line monitoring of machining state, process safety has been effectively ensured
And product quality.Although the purpose of on-line monitoring also may be implemented in the invention, only current signal is monitored.
Summary of the invention
The technical problem to be solved in the present invention is that providing one kind remanufactures lathe health monitoring systems, is based on mathematical modulo
The method of type, the method for signal processing carry out recording equipment operating condition, and by signal processing analysis, carrying out diagnostic device may be deposited
Failure cause, alarm signal can also be issued when occurring abnormal with the surface quality of timing monitoring workpiece.
Problem of the invention is achieved in that
One kind remanufacturing lathe health monitoring systems, including a lathe, an electrical control cabinet and a master control processing system
System, the lathe are equipped with a main shaft and a knife rest, and the front and back end of the main shaft is arranged with a bearing respectively, the main shaft
It has been fixed by the bracket two first vibrating sensors on the mutually perpendicular position in front and back end, one second vibration is fixed on the bearing
Dynamic sensor and a temperature sensor；One second vibrating sensor is respectively and fixedly provided in the X-axis of the knife rest, Y-axis and Z-direction；
It is additionally provided with a cutter on the knife rest, a temperature sensor is fixed on the cutter；The cabinet leg is additionally provided with the first vibration
Dynamic sensor；The electrical control cabinet is equipped with a voltage transmitter, a current transducer and three current transformers；The machine
Bed is connect with the corresponding circuits of the electrical control cabinet, and the current transducer is connect with three current transformers, and described
First vibrating sensor, second vibrating sensor, the temperature sensor, the voltage transmitter and the electric current pick-up
Device is connected to the master control processing system.
Further, two first vibrating sensors in the front and back end of the main shaft, the first vibrating sensor described in one
In horizontal direction, another first vibrating sensor is located in vertical direction.
Further, the master control processing system is industrial personal computer.
Further, the second vibrating sensor on the bearing and temperature sensor are an integral structure.
Further, second vibrating sensor is patch magnetic-type vibrating sensor.
The present invention has the advantage that the present invention can to failure lathe failure that may be present or will generated, into
Row pre- judgement in advance, to make the service life of lathe longer；By high order equilibrium, workpiece machining surface can be monitored in real time
Quality, if exceeding the timely alert process of quality standard.
Detailed description of the invention
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the main view that the present invention remanufactures lathe health monitoring systems.
Fig. 2 is the top view that the present invention remanufactures lathe health monitoring systems.
Fig. 3 is the side view of main shaft of the present invention.
Fig. 4 is the side view of bearing of the present invention.
Figure label explanation:
1- lathe, 11- main shaft, 12- knife rest, 13- bearing, 14- cutter, 2- electrical control cabinet, 3- master control processing system,
The first vibrating sensor of 4-, the second vibrating sensor of 5-, 6- temperature sensor, 7- voltage transmitter, 8- current transducer, 9- electricity
Current transformer.
Specific embodiment
The present invention is further detailed combined with specific embodiments below, but structure of the invention and not only
It is limited to following embodiment.
As shown in Figures 1 to 4, one kind of the invention remanufactures lathe health monitoring systems, including a lathe 1, one is electrically
Control cabinet 2 and a master control processing system 3, the lathe 1 are equipped with a main shaft 11 and a knife rest 12, the main shaft 11
Front and back end is arranged with a bearing 13 respectively, and two have been fixed by the bracket on the mutually perpendicular position in front and back end of the main shaft 11
One vibrating sensor 4 is fixed with one second vibrating sensor 5 and a temperature sensor 6 on the bearing 13；The knife rest 12
One second vibrating sensor 5 is respectively and fixedly provided in X-axis, Y-axis and Z-direction；A cutter 14, the knife are additionally provided on the knife rest 12
A temperature sensor 6 is fixed on tool 14；1 bottom of lathe is additionally provided with the first vibrating sensor 4；The electrical control cabinet 2
It is equipped with a voltage transmitter 7, a current transducer 8 and three current transformers 9；The lathe 1 and the electrical control cabinet 2
Corresponding circuits connection, the current transducer 8 connect with three current transformers 9, and first vibrating sensor 4,
Second vibrating sensor 5, the temperature sensor 6, the voltage transmitter 7 and the current transducer 8 are connected to
The master control processing system 3.
Further, two first vibrating sensors 4 in the front and back end of the main shaft 11, the first vibrating sensing described in one
Device 4 is located in horizontal direction, and another first vibrating sensor 4 is located in vertical direction, by being located in horizontal direction
First vibrating sensor 4 can measure the vibratory output in 11 horizontal direction of main shaft, by be located in vertical direction the
One vibrating sensor 4 can measure the vibratory output in 11 vertical direction of main shaft.
Further, the master control processing system 3 is industrial personal computer, industrial personal computer (Industrial
PersonalComputer, IPC) i.e. industrial control computer, it is a kind of using bus structures, production process and electromechanics is set
Standby, technological equipment carries out the tool general name of Detection & Controling；Industrial personal computer has important computer attribute and feature, such as has meter
Calculation machine CPU, hard disk, memory, peripheral hardware and interface, and have operating system, control network and agreement, computing capability, close friend it is man-machine
Interface；The product and technology of industry control industry are very special, belong to intermediate products, be provided for other every profession and trades it is reliable, embedded,
Intelligentized industrial computer.
Further, the second vibrating sensor 5 on the bearing 13 and temperature sensor 6 are an integral structure.
Further, second vibrating sensor 5 is patch magnetic-type vibrating sensor.
When the monitoring system jam, the various amounts or partial amount of the monitoring system can show with when normal condition not
Same characteristic.This species diversity often includes fault message abundant.How to find this failure feature description, and using it into
The detection and separation of row failure are the groundworks of fault diagnosis.In machine failure, when an error occurs, main shaft, bearing with
And the vibration of knife rest will appear exception, by analyzing abnormal transient vibration signal, can diagnose the reason of being out of order and position；In addition,
The abnormal conditions of Machine Tools Electric part are even more several most important indexs of accident analysis, therefore, in process of production, if
Sensor is set on lathe critical component, by that relevant information acquisition and analysis in real time, can be able to achieve in lathe work shape
On the basis of state, discovery failure, troubleshooting guarantee equipment safety, reliability service by taking corresponding measure.
Based on the above analysis, the present invention proposes that on-line monitoring mode implements failure monitoring and Diagnostic Strategy.In machine-building
Technological experiment room remanufactures on numerically controlled lathe platform, and three main shaft, bearing and knife rest vibration signal monitoring points, Yi Jizhu is arranged
Two axis frequency converter, servo-driver electric signal monitoring points carry out operation working condition on-line monitoring to lathe, pass through monitoring
The prediction of information has found that it is likely that and breaks down.Meanwhile to treated, monitoring information is stored, and is mentioned for lathe life prediction
It is supported for data.The program particularly suitable for Waste machine tool after remanufacturing, new equipment running safety monitoring application.
In these measurement amounts, the Relative Vibration and absolute vibration of lathe are the parameter values of most critical, below in relation to this two
The simplicity of explanation explanation of a parameter value.
The first vibrating sensor 4 in the present invention is Relative Vibration sensor, the principle of Relative Vibration sensor: opposite
It is that sensor is fixed on bracket when vibrating sensor vibration measuring, keeps sensor consistent with the direction of vibration of testee, work as quilt
Object is surveyed in vibration, sensor records out misalignment of the testee vibrated relative to sensor by magnetic field induction,
Signal is passed to receiving element by sensor simultaneously, and the displacement that the testee of vibration can be depicted changes with time song
Line can calculate the parameters such as size and the frequency of displacement according to this recording curve.
The second vibrating sensor 5 in the present invention is absolute vibration sensor, the principle of absolute vibration sensor: absolute
It when vibrating sensor vibration measuring, is directly anchored to sensor on the measuring point of tested vibrating object, when sensor outer housing is with tested
When vibrating object is run, relative motion will be occurred with shell by the inertial mass flexibly supported, then turn the note on mass block
Record pen can record the displacement amplitude of the Relative Vibration of mass elements and shell, then utilize inertial mass and shell
The relational expression of Relative Vibration displacement can find out the absolute vibration displacement waveform of testee.
Software functional description:
1, data acquisition function:
In lathe operation, the front and back end horizontal direction of main shaft is acquired in the case where the sampling period that can artificially set and is hung down
Histogram to vibration values, the vibration values of two bearings and temperature, knife rest tri- directions X, Y, Z on vibration values and cutter temperature
Degree, voltage when electric current, the monitoring system when which runs are run, and by these data real-time depictions in computer
On, form real-time curve.
2, data recording function:
The front and back end horizontal direction of main shaft and vibration values, two axis of vertical direction are recorded under the record period that can artificially set
The temperature of vibration values and cutter on tri- directions X, Y, Z for the vibration values and temperature, knife rest held, when which runs
Voltage when electric current, monitoring system operation.When needed, the historical record using the time as scale is called in, and is formed and is gone through
History curve.
3, the fault logging function of data:
The failure logging point of parameters is set, when each parameter value of equipment is more than these fault points, is recorded
The value of the failure and time.These parameters include the front and back end horizontal direction of main shaft and vibration values, the two bearings of vertical direction
Vibration values and temperature, knife rest tri- directions X, Y, Z on vibration values and cutter temperature, electricity when which runs
Voltage, power etc. when stream, monitoring system operation.
4, secondary data analysis can be done by the ODBC interface of software, passes through processing method signal-based, such as base
In the method for oscillating or Knowledge based engineering method of wavelet transformation, such as the method based on expert system and artificial neural network is done
Pre-alarm function:
Method based on signal processing is using signal model, such as correlation function, frequency spectrum, autoregressive moving average, directly
Signal can be surveyed by connecing analysis, the characteristic values such as variance, amplitude, frequency be extracted, to detect the generation of failure.It is to the effect that counted
Analysis, correlation analysis, frequency analysis, wavelet analysis and model analysis etc..
Method based on information knowledge refers to that the multi-source information from a certain mechanical equipment, which is subject to intelligence, to be combined to, and is generated
It is more more accurate than single piece of information source, more completely estimation and judgement.Measurement number of the information of fault detection not only from sensor
According to further including certain knowledge or intermediate result.Some features in relation to the system failure can be extracted using these information, then
It is diagnosed in more detail by the knowledge of these fault signatures and system, judges the position of failure and the property of failure.This method
A distinguishing feature be have the sensor of correlation noise be it is relevant, can significantly inhibit to make an uproar by fusion treatment
Sound reduces uncertain.
By above two method, a knowledge system is formed, to equipment failure that may be present or the event that will be generated
Barrier, is judged, in advance in advance to make the service life of lathe longer.By high order equilibrium, it can be worked and be added with timing monitoring
Work surface quality, if exceeding the timely alert process of quality standard.
In conclusion advantages of the present invention is as follows:
The present invention can judge failure lathe failure that may be present or will generated in advance in advance, to allow
The service life of lathe is longer；By high order equilibrium, workpiece machining surface quality can be monitored in real time, if exceeding quality mark
Quasi- timely alert process.
The present invention only needs to make lathe the transformation of very little, will not have an impact to lathe itself, and control system with
Machine tool numerical control system separates, and complete equipment may be moved on on other lathe and be used, and packs up and is moved to when not using conveniently and is other
Ground uses.
Although specific embodiments of the present invention have been described above, those familiar with the art should be managed
Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, it is familiar with this
The technical staff in field should be covered of the invention according to modification and variation equivalent made by spirit of the invention
In scope of the claimed protection.
Claims (3)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610331590.5A CN105807716B (en) | 2016-05-18 | 2016-05-18 | Remanufacturing Machine Tool Health Monitoring System |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610331590.5A CN105807716B (en) | 2016-05-18 | 2016-05-18 | Remanufacturing Machine Tool Health Monitoring System |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105807716A CN105807716A (en) | 2016-07-27 |
| CN105807716B true CN105807716B (en) | 2019-04-19 |
Family
ID=56451554
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610331590.5A Expired - Fee Related CN105807716B (en) | 2016-05-18 | 2016-05-18 | Remanufacturing Machine Tool Health Monitoring System |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105807716B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107264087B (en) * | 2017-07-31 | 2023-01-31 | 福建工程学院 | Shared printer anti-damage device |
| CN108942406B (en) * | 2018-07-12 | 2023-08-25 | 清华大学 | Machine tool spindle motor power real-time monitoring system and method |
| CN112415947B (en) * | 2020-12-04 | 2021-06-01 | 上电智联科技(江苏)有限公司 | CNC machine tool data acquisition and management method and system based on DTU equipment |
| TWI766489B (en) * | 2020-12-21 | 2022-06-01 | 財團法人工業技術研究院 | Monitoring method and system for machine tool |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102706543A (en) * | 2011-01-06 | 2012-10-03 | 大连理工大学 | Power tool rest comprehensive performance test method |
| CN203133563U (en) * | 2012-11-12 | 2013-08-14 | 天津冶金职业技术学院 | Remote online detection apparatus for numerical control machine tool |
| CN103823409A (en) * | 2014-02-27 | 2014-05-28 | 电子科技大学 | Numerical machine tool machining state multi-parameter online active monitoring system and implement method thereof |
| CN104808585A (en) * | 2015-04-13 | 2015-07-29 | 华中科技大学 | A method for quickly checking the health status of machine tools |
| CN104965490A (en) * | 2015-07-01 | 2015-10-07 | 国家林业局北京林业机械研究所 | Real-time monitoring system for wood milling processing electric spindle |
| CN205644242U (en) * | 2016-05-18 | 2016-10-12 | 福建工程学院 | Refabrication lathe health monitoring system |
-
2016
- 2016-05-18 CN CN201610331590.5A patent/CN105807716B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102706543A (en) * | 2011-01-06 | 2012-10-03 | 大连理工大学 | Power tool rest comprehensive performance test method |
| CN203133563U (en) * | 2012-11-12 | 2013-08-14 | 天津冶金职业技术学院 | Remote online detection apparatus for numerical control machine tool |
| CN103823409A (en) * | 2014-02-27 | 2014-05-28 | 电子科技大学 | Numerical machine tool machining state multi-parameter online active monitoring system and implement method thereof |
| CN104808585A (en) * | 2015-04-13 | 2015-07-29 | 华中科技大学 | A method for quickly checking the health status of machine tools |
| CN104965490A (en) * | 2015-07-01 | 2015-10-07 | 国家林业局北京林业机械研究所 | Real-time monitoring system for wood milling processing electric spindle |
| CN205644242U (en) * | 2016-05-18 | 2016-10-12 | 福建工程学院 | Refabrication lathe health monitoring system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105807716A (en) | 2016-07-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105807716B (en) | Remanufacturing Machine Tool Health Monitoring System | |
| Tansel et al. | Detecting chatter and estimating wear from the torque of end milling signals by using Index Based Reasoner (IBR) | |
| Prickett et al. | An overview of approaches to end milling tool monitoring | |
| CN104750027B (en) | A Tool Breakage Early Warning System Based on Machine Tool Spindle Power Signal | |
| CN109506921A (en) | A kind of rotary machinery fault diagnosis and method for early warning | |
| CN107345857A (en) | A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method | |
| CN109857079B (en) | Intelligent diagnosis method and device for abnormal working state of spindle system of machining center | |
| CN108972152A (en) | A kind of sound-power detection method monitoring abrasion of cutting tool state | |
| CN109352416B (en) | Alarming method and device for clamping chips of machine tool spindle and/or winding chips of cutter | |
| CN114800040B (en) | Tool wear monitoring method and system associated with process-state data | |
| CN105817952A (en) | Online monitoring system and method for spindle colliding and tool breakage based on mixed supporting electric spindle | |
| CN103558806A (en) | Fault treatment system of numerical control machine tool | |
| US7571022B2 (en) | System and method for monitoring machine health | |
| US7383097B2 (en) | Method for managing machine tool data | |
| CN108363822A (en) | Cutter rigid predictions are used to inhibit the device and method of cutting-vibration | |
| CN106406231A (en) | Machine tool spindle intelligent online monitoring and integration diagnosis system based on Internet | |
| CN116300688A (en) | Method for collecting, storing and applying numerical control machine tool data | |
| KR20210006832A (en) | Method and apparatus for machine fault diagnosis | |
| CN117961643A (en) | A method for online fault monitoring of CNC machine tools based on multi-axis current signals | |
| CN205644242U (en) | Refabrication lathe health monitoring system | |
| Mo et al. | An FFT-based high-speed spindle monitoring system for analyzing vibrations | |
| TWM604689U (en) | Intelligent monitoring system applied to cutting process | |
| TWM604901U (en) | Intelligent monitoring system applied to grinding process | |
| TWM639492U (en) | Comprehensive processing machine warm-up operation diagnosis system | |
| Ogedengbe et al. | Feasibility of tool condition monitoring on micro-milling using current signals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190419 |