CN101697072A - System and method for diagnosing faults of numerical control machine - Google Patents
System and method for diagnosing faults of numerical control machine Download PDFInfo
- Publication number
- CN101697072A CN101697072A CN200910197909A CN200910197909A CN101697072A CN 101697072 A CN101697072 A CN 101697072A CN 200910197909 A CN200910197909 A CN 200910197909A CN 200910197909 A CN200910197909 A CN 200910197909A CN 101697072 A CN101697072 A CN 101697072A
- Authority
- CN
- China
- Prior art keywords
- signal
- numerical control
- control machine
- signal conditioner
- diagnosing faults
- 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.)
- Pending
Links
Landscapes
- Testing And Monitoring For Control Systems (AREA)
- Numerical Control (AREA)
Abstract
The invention relates to a system and a method for diagnosing faults of a numerical control machine. The system comprises two acceleration sensors and one speed sensor which are used for obtaining vibration signals generated by the numerical control machine, two first signal conditioners used for conditioning and outputting signals output by the acceleration sensors, a data acquisition card used for gathering signals which are output after being conditioned, a monitoring computer connected with the output end of the data acquisition card and used for calculating and analyzing the vibration signals generated by the numerical control machine and diagnosing faults of the numerical control machine. The method comprises the following steps: (1) obtaining vibration signals; (2) conditioning the signals; (3) gathering data; and (4) analyzing the signals. The device has simple hardware structure and realizes the diagnosing and analyzing function mainly based on software, thereby being convenient to update and maintain. The fault time of the machine is reduced, thereby enhancing the operation efficiency of the machine in processing.
Description
Technical field
The invention belongs to the diagnosing faults of numerical control machine technical field, particularly a kind of diagnosing faults of numerical control machine system and method thereof.
Background technology
At the modern mechanical manufacture field, digital control processing has occupied dominant position, and especially for the part of processing in enormous quantities and high-precision requirement, various numerically-controlled machines are being born the effect that can not be substituted.Therefore the job stability and the reliability of numerically-controlled machine have crucial meaning for improving enterprises production efficiency.Utilize lathe to add the vibration signal that produce man-hour, can analyze the running status of today's numerical control lathe, carry out intelligent fault diagnosis in advance, must shut down for a long time and keep in repair in case avoid breaking down.
Find by literature search, publication number is the Chinese invention patent of CN200410041412.6, a kind of based on network grinding machine data acquisition and trouble-shooter have been introduced, this device comprises signal pickup assembly, signal processing circuit, control device, display device, input media and external computing machine and Ethernet change-over circuit, by sensors such as vibration, noise and temperature are installed on the lathe relevant position, operating mode situation to lathe is judged, and carry out communication by the computing machine on Ethernet and the network, realize remote service and diagnosis.This device relates to more complicated circuit, and signal easily causes distortion or decay through multistage conditioning and conversion, and process is complicated and consuming time.In addition, this device only is as the fault diagnosis object with grinding machine.
Summary of the invention
The objective of the invention is to, a kind of diagnosing faults of numerical control machine system and method thereof are provided, based on be to use at present advanced very widely virtual instrument technique, while incorporating signal processing techniques and sensor technology, the vibration signal that produces in the numerically-controlled machine process is extracted and analyzes, finish on-line fault diagnosis.
The present invention adopts following technical scheme:
A kind of diagnosing faults of numerical control machine system comprises:
Two acceleration transducers and a speed pickup are used to obtain the vibration signal that numerically-controlled machine produces;
Two first signal conditioners, the output terminal with a described acceleration transducer is connected respectively, is used for the signal of described acceleration transducer output is nursed one's health and exported;
The secondary signal conditioner is connected with the output terminal of described speed pickup, is used for the signal of described speed pickup output is nursed one's health and exported;
Data collecting card is connected with the secondary signal conditioner with described first signal conditioner, is used to gather and export the signal of first signal conditioner and secondary signal conditioner conditioning back output;
Supervisory control comuter is connected with the output terminal of described data collecting card, is used for the vibration signal that numerically-controlled machine produces is calculated and analyzes the diagnosis machine failure.
Further, the usb bus interface that passes through between described supervisory control comuter and the described data collecting card is connected.
Further, described acceleration transducer is a YD-12 type piezoelectric acceleration sensor, the model of described first signal conditioner is a DHF-7 type signal conditioner, and the model of secondary signal conditioner is a YSD-2A type signal conditioner, and described speed pickup is a YSD-2A type speed pickup.
Further, the model of described data collecting card is the magnificent data collecting card of grinding of USB-4711.
The present invention also provides a kind of diagnosing faults of numerical control machine method, may further comprise the steps:
1) vibration signal obtaining step obtains the vibration signal that numerically-controlled machine produces by two acceleration transducers and a speed pickup;
2) signal condition step is nursed one's health and is exported the signal of described acceleration transducer output by two first signal conditioners; By a secondary signal conditioner signal of described speed pickup output is nursed one's health and exported;
3) data acquisition step is used to gather and export the signal of first signal conditioner and secondary signal conditioner conditioning back output;
4) signal analysis step is used for the vibration signal that numerically-controlled machine produces is calculated and analyzes the diagnosis machine failure.
Further, in the described step 4), specific analytical method is vibration signal to be carried out time and frequency domain analysis, by Fast Fourier Transform (FFT) and wavelet package transforms generation rumble spectrum figure, by observation rumble spectrum figure, the identification source of failure.
Further, described two acceleration transducers are installed on main spindle box and the worktable by magnetic support respectively, and a described speed pickup is installed in the gear case position.
The invention has the beneficial effects as follows that the device hardware configuration is simple, the diagnostic analysis function mainly relies on software to realize, is convenient to upgrading and maintenance.Utilize this cover system to carry out malfunction monitoring, reduce the unnecessary fault power time of lathe, improve the operational efficiency of machine tooling, can be widely used in various digital control processings field multiple numerically-controlled machine.
Further specify the present invention below in conjunction with drawings and Examples.
Description of drawings
Fig. 1 is a diagnosing faults of numerical control machine system embodiment structural representation of the present invention.
Embodiment
Embodiment one
As shown in Figure 1, a kind of diagnosing faults of numerical control machine system comprises:
Two acceleration transducers and a speed pickup are used to obtain the vibration signal that numerically-controlled machine produces;
Two first signal conditioners, the output terminal with a described acceleration transducer is connected respectively, is used for the signal of described acceleration transducer output is nursed one's health and exported;
The secondary signal conditioner is connected with the output terminal of described speed pickup, is used for the signal of described speed pickup output is nursed one's health and exported;
Data collecting card is connected with the secondary signal conditioner with described first signal conditioner, is used to gather and export the signal of first signal conditioner and secondary signal conditioner conditioning back output;
Supervisory control comuter is connected with the output terminal of described data collecting card, is used for the vibration signal that numerically-controlled machine produces is calculated and analyzes, and realizes the intelligent fault diagnosis to lathe.
Wherein, specific analytical method can be vibration signal to be carried out time and frequency domain analysis, by Fast Fourier Transform (FFT) and wavelet package transforms generation rumble spectrum figure, by observation rumble spectrum figure, the identification source of failure.
Wherein, the usb bus interface that passes through between described supervisory control comuter and the described data collecting card is connected.
Wherein, the model of described data collecting card is the magnificent data collecting card of grinding of USB-4711, described acceleration transducer is a YD-12 type piezoelectric acceleration sensor, the model of described first signal conditioner is a DHF-7 type signal conditioner, the model of secondary signal conditioner is a YSD-2A type signal conditioner, and described speed pickup is a YSD-2A type speed pickup.
Embodiment two
A kind of diagnosing faults of numerical control machine method may further comprise the steps:
1) vibration signal obtaining step obtains the vibration signal that numerically-controlled machine produces by two acceleration transducers and a speed pickup;
2) signal condition step is nursed one's health and is exported the signal of described acceleration transducer output by two first signal conditioners; By a secondary signal conditioner signal of described speed pickup output is nursed one's health and exported;
3) data acquisition step is used to gather and export the signal of first signal conditioner and secondary signal conditioner conditioning back output;
4) signal analysis step is used for the vibration signal that numerically-controlled machine produces is calculated and analyzes, and realizes the intelligent fault diagnosis to lathe.
Wherein, specific analytical method can be vibration signal to be carried out time and frequency domain analysis, by Fast Fourier Transform (FFT) and wavelet package transforms generation rumble spectrum figure, by observation rumble spectrum figure, the identification source of failure.
Wherein, described two acceleration transducers are respectively by magnetic support, are installed on main spindle box and the worktable in the mode of magnetic, and a described speed pickup is installed in the gear case position.
Particularly, the embodiment of the invention is applied to CK6140 type numerically controlled lathe is carried out malfunction monitoring and diagnostic analysis.Two YD-12 type piezoelectric acceleration sensors are installed on main spindle box and the worktable by magnetic support respectively, a YSD-2A type speed pickup is installed in the gear case position, connect signal conditioner DHF-7 and signal conditioner YSD-2A then accordingly.Because signal conditioner needs 24V direct current supply, so must external 24V direct supply one.Signal conditioner output is the current signal of 4-20mA then, and grind the signal that magnificent data collecting card USB-4711 need import is the 0-10V voltage signal, so, seal in one 500 Ω terminal resistance by terminal, being converted to voltage signal outputs to and grinds magnificent data collecting card USB-4711, be connected with supervisory control comuter by the USB mode at last, computing machine is by the LabView software platform of American National instrument company exploitation, obtain the vibration signal of lathe generation and carry out analyzing and processing, in case wearing and tearing or inefficacy fault appear in lathe, must carry corresponding information in the vibration signal, the user can in time find even predict in advance by the observation spectrogram, so that in time keep in repair.
Above-described embodiment only is used to illustrate technological thought of the present invention and characteristics, its purpose is to make those skilled in the art can understand content of the present invention and implements according to this, can not only limit claim of the present invention with present embodiment, be all equal variation or modifications of doing according to disclosed spirit, still drop in the claim of the present invention.
Claims (7)
1. diagnosing faults of numerical control machine system is characterized in that comprising:
Two acceleration transducers and a speed pickup are used to obtain the vibration signal that numerically-controlled machine produces;
Two first signal conditioners, the output terminal with a described acceleration transducer is connected respectively, is used for the signal of described acceleration transducer output is nursed one's health and exported;
The secondary signal conditioner is connected with the output terminal of described speed pickup, is used for the signal of described speed pickup output is nursed one's health and exported;
Data collecting card is connected with the secondary signal conditioner with described first signal conditioner, is used to gather and export the signal of first signal conditioner and secondary signal conditioner conditioning back output;
Supervisory control comuter is connected with the output terminal of described data collecting card, is used for the vibration signal that numerically-controlled machine produces is calculated and analyzes the diagnosis machine failure.
2. diagnosing faults of numerical control machine according to claim 1 system is characterized in that:
The usb bus interface that passes through between described supervisory control comuter and the described data collecting card is connected.
3. diagnosing faults of numerical control machine according to claim 1 and 2 system is characterized in that:
Described acceleration transducer is a YD-12 type piezoelectric acceleration sensor, the model of described first signal conditioner is a DHF-7 type signal conditioner, the model of secondary signal conditioner is a YSD-2A type signal conditioner, and described speed pickup is a YSD-2A type speed pickup.
4. diagnosing faults of numerical control machine according to claim 3 system is characterized in that:
The model of described data collecting card is the magnificent data collecting card of grinding of USB-4711.
5. diagnosing faults of numerical control machine method is characterized in that may further comprise the steps:
1) vibration signal obtaining step obtains the vibration signal that numerically-controlled machine produces by two acceleration transducers and a speed pickup;
2) signal condition step is nursed one's health and is exported the signal of described acceleration transducer output by two first signal conditioners; By a secondary signal conditioner signal of described speed pickup output is nursed one's health and exported;
3) data acquisition step is used to gather and export the signal of first signal conditioner and secondary signal conditioner conditioning back output;
4) signal analysis step is used for the vibration signal that numerically-controlled machine produces is calculated and analyzes the diagnosis machine failure.
6. diagnosing faults of numerical control machine method according to claim 5 is characterized in that:
In the described step 4), specific analytical method is vibration signal to be carried out time and frequency domain analysis, by Fast Fourier Transform (FFT) and wavelet package transforms generation rumble spectrum figure, by observation rumble spectrum figure, the identification source of failure.
7. according to claim 5 or 6 described diagnosing faults of numerical control machine methods, it is characterized in that:
Described two acceleration transducers are installed on main spindle box and the worktable by magnetic support respectively, and a described speed pickup is installed in the gear case position.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910197909A CN101697072A (en) | 2009-10-29 | 2009-10-29 | System and method for diagnosing faults of numerical control machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910197909A CN101697072A (en) | 2009-10-29 | 2009-10-29 | System and method for diagnosing faults of numerical control machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101697072A true CN101697072A (en) | 2010-04-21 |
Family
ID=42142179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200910197909A Pending CN101697072A (en) | 2009-10-29 | 2009-10-29 | System and method for diagnosing faults of numerical control machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101697072A (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101846992A (en) * | 2010-05-07 | 2010-09-29 | 上海理工大学 | Fault tree construction method based on fault case of numerical control machine |
| CN102141808A (en) * | 2010-09-28 | 2011-08-03 | 上海电力学院 | Embedded type fault pre-diagnosis system and method for steam turbine generator unit |
| CN102284886A (en) * | 2011-05-11 | 2011-12-21 | 南京工业职业技术学院 | Portable intelligent installation-debugging guidance and fault diagnosis device |
| CN103558806A (en) * | 2013-11-13 | 2014-02-05 | 桂林正菱第二机床有限责任公司 | Fault treatment system of numerical control machine tool |
| CN103674504A (en) * | 2012-08-31 | 2014-03-26 | 沈阳机床(集团)有限责任公司 | Main shaft performance testing platform |
| CN105492979A (en) * | 2013-08-22 | 2016-04-13 | J.G.魏瑟尔泽内有限责任两合公司 | Machine and method for diagnosing a machine |
| CN105629872A (en) * | 2014-10-08 | 2016-06-01 | 财团法人资讯工业策进会 | Method and device for filtering vibration signal of machine table |
| CN106154978A (en) * | 2016-07-01 | 2016-11-23 | 北京华科合创科技发展有限公司 | A kind of dynamic equipment condition monitoring and fault diagnosis security system |
| CN106485073A (en) * | 2016-10-12 | 2017-03-08 | 浙江理工大学 | A kind of grinding machine method for diagnosing faults |
| CN109396953A (en) * | 2018-12-05 | 2019-03-01 | 上海交通大学 | Lathe work condition intelligent identification system based on signal fused |
| CN109828531A (en) * | 2019-01-14 | 2019-05-31 | 苏州工业园区职业技术学院 | A kind of Fault diagnosis system for CNC machine based on cloud platform |
| CN110091216A (en) * | 2019-05-13 | 2019-08-06 | 江苏师范大学 | The monitoring of milling noise and milling vibration and its correlation analysis system and method |
| CN110347114A (en) * | 2019-07-23 | 2019-10-18 | 清华大学 | A kind of Cnc ReliabilityintelligeNetwork Network data acquisition and analysis system |
| CN110411347A (en) * | 2019-08-13 | 2019-11-05 | 安徽理工大学 | The detection device and its detection method of numerically controlled machine instantaneous centre of rotation |
| CN112476056A (en) * | 2020-11-13 | 2021-03-12 | 宁波天控五轴数控技术有限公司 | Machine tool impact recognition system |
-
2009
- 2009-10-29 CN CN200910197909A patent/CN101697072A/en active Pending
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101846992A (en) * | 2010-05-07 | 2010-09-29 | 上海理工大学 | Fault tree construction method based on fault case of numerical control machine |
| CN101846992B (en) * | 2010-05-07 | 2011-12-07 | 上海理工大学 | Fault tree construction method based on fault case of numerical control machine |
| CN102141808A (en) * | 2010-09-28 | 2011-08-03 | 上海电力学院 | Embedded type fault pre-diagnosis system and method for steam turbine generator unit |
| CN102141808B (en) * | 2010-09-28 | 2013-06-26 | 上海电力学院 | Embedded type fault pre-diagnosis system and method for steam turbine generator unit |
| CN102284886A (en) * | 2011-05-11 | 2011-12-21 | 南京工业职业技术学院 | Portable intelligent installation-debugging guidance and fault diagnosis device |
| CN102284886B (en) * | 2011-05-11 | 2013-01-09 | 南京工业职业技术学院 | Portable intelligent installation-debugging guidance and fault diagnosis device |
| CN103674504B (en) * | 2012-08-31 | 2017-02-01 | 沈阳机床(集团)有限责任公司 | Main shaft performance testing platform |
| CN103674504A (en) * | 2012-08-31 | 2014-03-26 | 沈阳机床(集团)有限责任公司 | Main shaft performance testing platform |
| CN105492979A (en) * | 2013-08-22 | 2016-04-13 | J.G.魏瑟尔泽内有限责任两合公司 | Machine and method for diagnosing a machine |
| CN103558806B (en) * | 2013-11-13 | 2016-10-05 | 桂林正菱第二机床有限责任公司 | A kind of fault processing system of Digit Control Machine Tool |
| CN103558806A (en) * | 2013-11-13 | 2014-02-05 | 桂林正菱第二机床有限责任公司 | Fault treatment system of numerical control machine tool |
| CN105629872A (en) * | 2014-10-08 | 2016-06-01 | 财团法人资讯工业策进会 | Method and device for filtering vibration signal of machine table |
| CN106154978A (en) * | 2016-07-01 | 2016-11-23 | 北京华科合创科技发展有限公司 | A kind of dynamic equipment condition monitoring and fault diagnosis security system |
| CN106485073A (en) * | 2016-10-12 | 2017-03-08 | 浙江理工大学 | A kind of grinding machine method for diagnosing faults |
| CN109396953A (en) * | 2018-12-05 | 2019-03-01 | 上海交通大学 | Lathe work condition intelligent identification system based on signal fused |
| CN109828531A (en) * | 2019-01-14 | 2019-05-31 | 苏州工业园区职业技术学院 | A kind of Fault diagnosis system for CNC machine based on cloud platform |
| CN110091216A (en) * | 2019-05-13 | 2019-08-06 | 江苏师范大学 | The monitoring of milling noise and milling vibration and its correlation analysis system and method |
| CN110091216B (en) * | 2019-05-13 | 2021-06-01 | 江苏师范大学 | Milling noise and milling vibration monitoring and correlation analysis system and method |
| CN110347114A (en) * | 2019-07-23 | 2019-10-18 | 清华大学 | A kind of Cnc ReliabilityintelligeNetwork Network data acquisition and analysis system |
| CN110411347A (en) * | 2019-08-13 | 2019-11-05 | 安徽理工大学 | The detection device and its detection method of numerically controlled machine instantaneous centre of rotation |
| CN112476056A (en) * | 2020-11-13 | 2021-03-12 | 宁波天控五轴数控技术有限公司 | Machine tool impact recognition system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101697072A (en) | System and method for diagnosing faults of numerical control machine | |
| CN104483011B (en) | A kind of on-line checking of rotating machinery multi-channel Vibration Signal and analysis system and method | |
| CN201666248U (en) | Natural gas compressor state detection and failure predication system | |
| CN102456419B (en) | Method for monitoring nuclear reactor canned motor pump operation fault and monitoring system | |
| CN102102629B (en) | On-line data acquisition and analysis device of wind generating set | |
| CN201731895U (en) | Coder testing device based on virtual instrument | |
| CN203414278U (en) | System for detecting abnormal condition of vibration of hydroelectric generating set in real time | |
| CN112763908A (en) | Motor health index evaluation system based on multi-fault feature combination | |
| CN111382789B (en) | Power load identification method and system based on machine learning | |
| CN104808584A (en) | Multi-information online detection system for machine tool multi-source energy consumption system | |
| CN101794138A (en) | Dynamic characteristic test and analysis system for numerical control machine tool | |
| CN110347114A (en) | A kind of Cnc ReliabilityintelligeNetwork Network data acquisition and analysis system | |
| CN108981796B (en) | Five-in-one hydraulic mechanical fault diagnosis method | |
| CN102323779B (en) | Measurement and control sensor network for heavy numerical control equipment | |
| CN101870076A (en) | Method for predicting service life of guide pair of numerical control machine on basis of performance degradation model | |
| CN101937203A (en) | Force and displacement monitoring device and method for controlling press mounting assembly by utilizing same | |
| CN101702008B (en) | Portable electric machine fault on-line diagnostic device | |
| CN109405889A (en) | System and method for for the prediction of development machine working arm decelerator trouble | |
| CN202049027U (en) | Tester for spindle vibration testing based on LabVIEW (laboratory virtual instrumentation engineering workbench) | |
| CN201522549U (en) | Portable device for online diagnosing motor fault | |
| CN102478827A (en) | Novel numerical control machine tool fault diagnosis system and method | |
| CN103758742A (en) | Plunger pump failure analysis system based on double-class feature fusion diagnosis | |
| CN1593849A (en) | Grinding machine data acquisition and failure diagnosis apparatus based on network | |
| CN101860082A (en) | Welding power supply monitoring and management method and system based on virtual instrument | |
| CN202091172U (en) | Device for monitoring state and analyzing reliability of gas compressor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20100421 |