CN102914357A - Device and method for prewarning abnormal resonances of mechanical parts of wind driven generator - Google Patents
Device and method for prewarning abnormal resonances of mechanical parts of wind driven generator Download PDFInfo
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- CN102914357A CN102914357A CN2012103817180A CN201210381718A CN102914357A CN 102914357 A CN102914357 A CN 102914357A CN 2012103817180 A CN2012103817180 A CN 2012103817180A CN 201210381718 A CN201210381718 A CN 201210381718A CN 102914357 A CN102914357 A CN 102914357A
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Abstract
The invention discloses a device and method for prewarning abnormal resonances of mechanical parts of a wind driven generator, which belong to the technical field of signal processing. The device comprises a sensor group, a data analyzer and a vibration monitoring server, which are connected with each other in sequence. The method comprises the steps as follows: sensors are mounted on the mechanical parts to collect vibration signals detected by the sensors; the data analyzer processes the vibration signals so as to obtain vibration frequencies; the vibration monitoring server compares the vibration frequencies and a vibration frequency interval of the mechanical parts; and when abnormal vibration occurs at the mechanical parts, a warning is produced. According to the invention, based on the fact that that resonance of the mechanical parts is probably caused by the abnormal vibration, the possibility of resonance damage during the abnormal vibration of the mechanical parts is predicated in advance, so that an effect of prewarning the abnormal resonance is achieved.
Description
Technical field
The invention discloses aerogenerator component of machine unusually resonate prior-warning device and method, belong to the technical field that signal is processed.
Background technology
The work of the vibration effect aerogenerator of wind power generating set component of machine, whether existing vibration monitoring device warns indication for the abnormal vibration of main parts size, to check whether parts damage.Existing detection method belongs to the method that checks after the damage, if can judge in advance the damage that parts may be subject to, then more can reduce the secondary damage between parts, has more preferably effect.
Summary of the invention
Technical matters to be solved by this invention is the deficiency for the above-mentioned background technology, and aerogenerator component of machine unusually resonate prior-warning device and method are provided.
The present invention adopts following technical scheme for achieving the above object:
The aerogenerator component of machine prior-warning device that unusually resonates comprises sensor group, data analyzer, vibration monitoring server; Described sensor group is seated on the component of machine to be detected; The input termination sensor group of described data analyzer, output termination vibration monitoring server; Wherein:
Described sensor group is used for the vibration signal that detects is converted to electric signal;
Described data analyzer is used for the electric signal that the sensor group detects is carried out the vibration frequency that fast Fourier analysis, cepstral analysis, Envelope Analysis obtain mechanical part;
Described vibration monitoring server sends early warning information for the interval contrast of vibration frequency that vibration frequency and database with mechanical part have when the mechanical part abnormal vibrations.
Described aerogenerator mechanical part resonates in the prior-warning device unusually, and the number of sensors that comprises in the sensor group is identical with the number of mechanical components that needs detect, and settles a sensor on each mechanical part.
Described aerogenerator mechanical part resonates in the prior-warning device unusually, and data analyzer is comprised of dsp chip and peripheral circuit thereof.
The aerogenerator component of machine method for early warning that unusually resonates is characterized in that comprising the steps:
Step 1 is consulted the component of machine data of dispatching from the factory and is obtained the natural frequency of component of machine, vibration frequency interval, and natural frequency, the vibration frequency interval of component of machine are stored in the database of vibration monitoring server;
Step 2, placement sensor on mechanical part to be monitored;
Step 3, the vibration signal of sensor group collection machinery parts, and vibration signal is converted to electric signal;
Step, 4, the electric signal that data analyzer detects the sensor group carries out the vibration frequency that fast Fourier analysis, cepstral analysis, Envelope Analysis obtain mechanical part;
Step 5, the vibration monitoring server contrasts the vibration frequency of mechanical part and the vibration frequency interval of component of machine:
When the component of machine vibration frequency reached the interval critical value of described vibration frequency, the vibration monitoring server sent warning message to operating personnel;
When the component of machine vibration frequency equaled natural frequency, the vibration monitoring server sent outage information to operating personnel;
When the mechanical part vibration frequency reached critical value, the vibration monitoring server sent warning message to operating personnel.
The present invention adopts technique scheme, have following beneficial effect: the present invention utilizes abnormal vibrations to cause component of machine that the possibility of resonance occurs, come the possibility of the resonance destruction of look-ahead component of machine under abnormal vibrations, reach the effect of unusual resonance early warning.
Description of drawings
Fig. 1 is unusually the resonate schematic diagram of prior-warning device of aerogenerator Machinery Ministry.
Embodiment
Be elaborated below in conjunction with the technical scheme of accompanying drawing to invention:
Aerogenerator mechanical part abnormal vibrations resonance prior-warning device as shown in Figure 1 comprises sensor group, data analyzer, vibration monitoring server.The sensor group is seated on the component of machine to be detected; The input termination sensor group of data analyzer, output termination vibration monitoring server.The number of sensors that comprises in the sensor group is identical with the number of mechanical components that needs detect, and settles a sensor on each mechanical part.Data analyzer is comprised of dsp chip and peripheral circuit thereof.
The sensor group is used for the vibration signal that detects is converted to electric signal;
Data analyzer is used for the electric signal that the sensor group detects is carried out the vibration frequency that fast Fourier analysis, cepstral analysis, Envelope Analysis obtain mechanical part;
The vibration monitoring server sends early warning information for the interval contrast of vibration frequency that vibration frequency and database with mechanical part have when the mechanical part abnormal vibrations.
The aerogenerator component of machine method for early warning that unusually resonates comprises the steps:
Step 1 is consulted the component of machine data of dispatching from the factory and is obtained the natural frequency of component of machine, vibration frequency interval, and natural frequency, the vibration frequency interval of component of machine are stored in the database of vibration monitoring server.
Step 2, placement sensor on the main mechanical parts of aerogenerator such as bearing, gear case, generator, cabin.
Step 3, the vibration signal of sensor group collection machinery parts, and vibration signal is converted to electric signal.
Step, 4, the electric signal that data analyzer detects the sensor group carries out the vibration frequency that fast Fourier analysis, cepstral analysis, Envelope Analysis obtain mechanical part.
Step 5, the vibration monitoring server contrasts the vibration frequency of mechanical part and the vibration frequency interval of component of machine:
When the component of machine vibration frequency reached the interval critical value of described vibration frequency, the vibration monitoring server sent warning message to operating personnel;
When the component of machine vibration frequency equaled natural frequency, the vibration monitoring server sent outage information to operating personnel;
When the mechanical part vibration frequency reached critical value, the vibration monitoring server sent warning message to operating personnel.
In sum, the present invention utilizes abnormal vibrations to cause component of machine that the possibility of resonance occurs, and comes the possibility of the resonance destruction of look-ahead component of machine under abnormal vibrations, reaches the effect of unusual resonance early warning.
Claims (4)
1. the aerogenerator component of machine prior-warning device that unusually resonates is characterized in that comprising sensor group, data analyzer, vibration monitoring server; Described sensor group is seated on the component of machine to be detected; The input termination sensor group of described data analyzer, output termination vibration monitoring server; Wherein:
Described sensor group is used for the vibration signal that detects is converted to electric signal;
Described data analyzer is used for the electric signal that the sensor group detects is carried out the vibration frequency that fast Fourier analysis, cepstral analysis, Envelope Analysis obtain mechanical part;
Described vibration monitoring server sends early warning information for the interval contrast of vibration frequency that vibration frequency and database with mechanical part have when the mechanical part abnormal vibrations.
2. the aerogenerator mechanical part according to claim 1 prior-warning device that unusually resonates is characterized in that the number of sensors that comprises in the described sensor group is identical with the number of mechanical components that needs detect, and settles a sensor on each mechanical part.
3. according to claims 1 or the 2 described aerogenerator mechanical parts prior-warning device that unusually resonates, it is characterized in that described data analyzer is comprised of dsp chip and peripheral circuit thereof.
4. the aerogenerator component of machine method for early warning that unusually resonates is characterized in that comprising the steps:
Step 1 is consulted the component of machine data of dispatching from the factory and is obtained the natural frequency of component of machine, vibration frequency interval, and natural frequency, the vibration frequency interval of component of machine are stored in the database of vibration monitoring server;
Step 2, placement sensor on mechanical part to be monitored;
Step 3, the vibration signal of sensor group collection machinery parts, and vibration signal is converted to electric signal;
Step, 4, the electric signal that data analyzer detects the sensor group carries out the vibration frequency that fast Fourier analysis, cepstral analysis, Envelope Analysis obtain mechanical part;
Step 5, the vibration monitoring server contrasts the vibration frequency of mechanical part and the vibration frequency interval of component of machine:
When the component of machine vibration frequency reached the interval critical value of described vibration frequency, the vibration monitoring server sent warning message to operating personnel;
When the component of machine vibration frequency equaled natural frequency, the vibration monitoring server sent outage information to operating personnel;
When the mechanical part vibration frequency reached critical value, the vibration monitoring server sent warning message to operating personnel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103817180A CN102914357A (en) | 2012-10-10 | 2012-10-10 | Device and method for prewarning abnormal resonances of mechanical parts of wind driven generator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103817180A CN102914357A (en) | 2012-10-10 | 2012-10-10 | Device and method for prewarning abnormal resonances of mechanical parts of wind driven generator |
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| CN102914357A true CN102914357A (en) | 2013-02-06 |
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| CN2012103817180A Withdrawn CN102914357A (en) | 2012-10-10 | 2012-10-10 | Device and method for prewarning abnormal resonances of mechanical parts of wind driven generator |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103592020A (en) * | 2013-11-09 | 2014-02-19 | 严志杰 | Vibration signal wireless collecting device |
| US10254406B2 (en) | 2016-06-08 | 2019-04-09 | International Business Machines Corporation | Surveying physical environments and monitoring physical events |
| CN109658954A (en) * | 2018-12-27 | 2019-04-19 | 广州势必可赢网络科技有限公司 | A kind of fault detection method for electromechanical equipment, apparatus and system |
| CN112985578A (en) * | 2019-12-13 | 2021-06-18 | 中车株洲电力机车研究所有限公司 | Wind turbine generator resonance diagnosis method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101393049A (en) * | 2008-08-25 | 2009-03-25 | 北京天源科创风电技术有限责任公司 | Vibration monitoring and failure diagnosis method for wind generating set |
| CN101825893A (en) * | 2010-05-05 | 2010-09-08 | 湖州师范学院 | Centralized and remote control monitoring, and fault diagnosis system of wind turbine |
| CN201820109U (en) * | 2010-09-17 | 2011-05-04 | 济南轨道交通装备有限责任公司 | Online status monitoring system for wind generating set test stand |
| CN102435294A (en) * | 2011-09-27 | 2012-05-02 | 成都阜特科技有限公司 | Vibration analysis method applied to vibration analyzer |
-
2012
- 2012-10-10 CN CN2012103817180A patent/CN102914357A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393049A (en) * | 2008-08-25 | 2009-03-25 | 北京天源科创风电技术有限责任公司 | Vibration monitoring and failure diagnosis method for wind generating set |
| CN101825893A (en) * | 2010-05-05 | 2010-09-08 | 湖州师范学院 | Centralized and remote control monitoring, and fault diagnosis system of wind turbine |
| CN201820109U (en) * | 2010-09-17 | 2011-05-04 | 济南轨道交通装备有限责任公司 | Online status monitoring system for wind generating set test stand |
| CN102435294A (en) * | 2011-09-27 | 2012-05-02 | 成都阜特科技有限公司 | Vibration analysis method applied to vibration analyzer |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103592020A (en) * | 2013-11-09 | 2014-02-19 | 严志杰 | Vibration signal wireless collecting device |
| US10254406B2 (en) | 2016-06-08 | 2019-04-09 | International Business Machines Corporation | Surveying physical environments and monitoring physical events |
| US10365372B2 (en) | 2016-06-08 | 2019-07-30 | International Business Machines Corporation | Surveying physical environments and monitoring physical events |
| CN109658954A (en) * | 2018-12-27 | 2019-04-19 | 广州势必可赢网络科技有限公司 | A kind of fault detection method for electromechanical equipment, apparatus and system |
| CN112985578A (en) * | 2019-12-13 | 2021-06-18 | 中车株洲电力机车研究所有限公司 | Wind turbine generator resonance diagnosis method and device |
| CN112985578B (en) * | 2019-12-13 | 2023-09-26 | 中车株洲电力机车研究所有限公司 | Wind turbine generator set resonance diagnosis method and device |
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Application publication date: 20130206 |