CN111692054A - Wind power gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis - Google Patents
Wind power gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis Download PDFInfo
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- CN111692054A CN111692054A CN202010616477.8A CN202010616477A CN111692054A CN 111692054 A CN111692054 A CN 111692054A CN 202010616477 A CN202010616477 A CN 202010616477A CN 111692054 A CN111692054 A CN 111692054A
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- 238000001514 detection method Methods 0.000 title claims abstract description 42
- 238000012806 monitoring device Methods 0.000 claims abstract description 22
- 238000006243 chemical reaction Methods 0.000 claims abstract description 16
- 239000007788 liquid Substances 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 18
- 238000001914 filtration Methods 0.000 claims description 17
- 230000001133 acceleration Effects 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 15
- 230000007547 defect Effects 0.000 claims description 12
- 229910052742 iron Inorganic materials 0.000 claims description 9
- 239000002245 particle Substances 0.000 claims description 8
- 238000001228 spectrum Methods 0.000 claims description 8
- 230000009471 action Effects 0.000 claims description 7
- 230000005294 ferromagnetic effect Effects 0.000 claims description 7
- 239000002923 metal particle Substances 0.000 claims description 7
- 230000003287 optical effect Effects 0.000 claims description 7
- 230000008878 coupling Effects 0.000 claims description 5
- 238000010168 coupling process Methods 0.000 claims description 5
- 238000005859 coupling reaction Methods 0.000 claims description 5
- 230000005611 electricity Effects 0.000 claims description 5
- 230000005291 magnetic effect Effects 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 239000003086 colorant Substances 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 22
- 230000008569 process Effects 0.000 abstract description 8
- 230000004397 blinking Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D15/00—Transmission of mechanical power
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
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Abstract
The invention discloses a wind power gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis, which comprises: the device comprises an oil liquid analysis device, a vibration monitoring device, a signal conversion device and a fault analysis device; the oil liquid analysis device is used for analyzing oil liquid of the wind turbine gearbox and sending an oil liquid analysis result to the fault analysis device according to a detection signal sent by the fault analysis device; the vibration monitoring device is used for monitoring the vibration condition of the wind turbine gearbox and sending the vibration data of the wind turbine gearbox to the fault analysis device according to the detection signal sent by the fault analysis device; the signal conversion device is used for converting the time domain and frequency domain signals of the vibration monitoring device; through a designed reverse-thrust method, the flaw position of the wind power gear box is judged according to fault data generated when the wind power generator set operates, so that the detection of the flaw position of the wind power gear box is more accurate, the detection process is simpler, and the detection cost is saved.
Description
Technical Field
The invention belongs to the technical field of wind power gear box detection, and particularly relates to a wind power gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis.
Background
After the wind turbine generator is flawed, a vibration fault can be generated, so that the generating efficiency is reduced, the safe operation of the wind turbine generator is influenced, and even the personal safety can be affected, and property loss is caused. Therefore, configuring a real-time wind turbine generator vibration fault detection and early warning system is an important subject of continuous research and development of scientific researchers. At present, the research techniques in China are roughly divided into a process parameter estimation method, a state estimation method, a signal diagnosis method and an artificial intelligence method. The process parameter estimation method is to judge and diagnose by using the residual error calculated by a mathematical model; the state estimation method is to monitor the residual variation of internal data through a filter to carry out fault detection, and the signal diagnosis method is to judge according to the characteristic value of the output data of the unit;
but wind-powered electricity generation gear box's flaw detection system is comparatively crude, can't accomplish to flaw position accurate judgement, appears the error easily, and traditional detecting system operates comparatively loaded down with trivial details, the problem that wastes time and energy, for this reason we provide wind-powered electricity generation gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis.
Disclosure of Invention
The invention aims to provide a wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis, and aims to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: wind-powered electricity generation gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis includes: the device comprises an oil liquid analysis device, a vibration monitoring device, a signal conversion device and a fault analysis device;
the oil liquid analysis device is used for analyzing oil liquid of the wind turbine gearbox and sending an oil liquid analysis result to the fault analysis device according to a detection signal sent by the fault analysis device;
the vibration monitoring device is used for monitoring the vibration condition of the wind turbine gearbox and sending the vibration data of the wind turbine gearbox to the fault analysis device according to the detection signal sent by the fault analysis device;
the signal conversion device is used for converting time domain and frequency domain signals of the vibration monitoring device and detecting vibration data based on the converted signals;
the fault analysis device is used for periodically sending detection signals to the oil analysis device and the vibration monitoring device, comparing and analyzing the received oil analysis result and the vibration data of the wind turbine gearbox, and diagnosing flaws of the wind turbine gearbox according to the comparison and analysis result.
By adopting the technical scheme, the flaw position is accurately judged, the operation is simple, and the detection cost is saved.
The invention is further configured to: the oil analysis device comprises a bicolor optical microscope and an iron spectrometer, the iron spectrometer distinguishes ferromagnetic metal particles in oil according to sizes under the action of a high-intensity magnetic field and arranges the ferromagnetic metal particles in a regular shape to form a spectrum sheet, and the bicolor optical microscope is used for determining the materials and the wear types of the wear particles according to the sizes, the number, the shapes and the colors of the wear particles on the spectrum sheet obtained by the iron spectrometer.
By adopting the technical scheme, a powerful basis is provided for fault judgment, and the monitoring mode is simple and effective.
The invention is further configured to: the vibration monitoring device comprises a vibration acquisition device and a filtering device, the filtering device adopts a high-pass filter for filtering and filtering low-frequency coupling signal component interference, the vibration acquisition device is used for acquiring micro vibration generated by a gear of the wind turbine generator, and an MAT-LAB engine is called to perform time domain and frequency domain signal processing analysis on acquired data.
By adopting the technical scheme, the interference factors during the interference fault detection are reduced, and the detection accuracy is improved.
The invention is further configured to: the signal conversion device comprises a converter and an acceleration sensor, the conversion device converts a time domain signal and a frequency domain signal of vibration, and discrete acceleration time domain signals collected by the acceleration sensor are subjected to discrete Fourier transform to obtain a frequency domain expression of the discrete acceleration time domain signals.
By adopting the technical scheme, the conversion between the time domain signal and the frequency domain signal is convenient to carry out, so that the fault detection is more accurate.
The invention is further configured to: the fault analysis device comprises a positioning module, a data processing module and a signal display module, wherein the data processing module intelligently analyzes time domain and frequency domain signals, positions flaws through the positioning module and sends flaw position data to the terminal through the signal display module.
By adopting the technical scheme, the flaw position data can be accurately deduced through fault analysis, and the method is more efficient and accurate.
The invention is further configured to: the terminal comprises a display device and an alarm device, wherein the display device is used for displaying the defect data, and the alarm device flickers at different frequencies according to the size of the defect data.
By adopting the technical scheme, the flaw data can be clearly expressed and displayed.
The invention is further configured to: the larger the fault data received by the alarm device, the larger the fault defect and the faster the flashing frequency, whereas the smaller the fault data received by the alarm device, the smaller the fault defect and the lower the flashing frequency.
By adopting the technical scheme, the severity of the flaw can be clearly known, and selective repair can be carried out according to the requirement.
The invention is further configured to: the data processing module collects fault data of the wind turbine generator gearbox during operation, normalizes the collected fault data, inputs the operation data into a Relief-F algorithm, and outputs weights of different fault data, so that the position of a flaw is judged.
By adopting the technical scheme, the data can be processed in a centralized manner, the obtained data can be expressed visually, and the judgment difficulty is reduced.
The invention is further configured to: the fault data comprise an amplitude domain deviation index, an amplitude domain margin index, a frequency domain waveform index and an energy index of the wind turbine generator gearbox.
Through adopting above-mentioned technical scheme, can increase the accuracy of judging the flaw position.
The invention is further configured to: the oil analysis device and the vibration monitoring device both comprise signal sending modules, and the signal sending modules are in wireless connection with the signal receiving modules of the fault analysis device.
By adopting the technical scheme, signal data can be accurately transmitted among the oil analysis device, the vibration monitoring device and the fault analysis device.
In conclusion, the beneficial effects of the invention are as follows:
the fault position of the wind power gear box is judged according to fault data generated when the wind turbine generator runs by a designed back-stepping method, so that the fault position of the wind power gear box is detected more accurately, the detection process is simpler, and the detection cost is saved; the designed filtering device adopts a high-pass filter for filtering low-frequency coupling signal component interference, more accurate fault analysis data can be obtained, and an MAT-LAB engine is adopted for carrying out time domain and frequency domain signal processing analysis on the acquired data, so that the purpose of accurately positioning the flaw position is achieved.
Drawings
FIG. 1 is a schematic diagram of an apparatus module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: wind-powered electricity generation gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis includes: the device comprises an oil liquid analysis device, a vibration monitoring device, a signal conversion device and a fault analysis device;
the oil liquid analysis device is used for analyzing oil liquid of the wind turbine gearbox and sending an oil liquid analysis result to the fault analysis device according to a detection signal sent by the fault analysis device;
the vibration monitoring device is used for monitoring the vibration condition of the wind turbine gearbox and sending the vibration data of the wind turbine gearbox to the fault analysis device according to the detection signal sent by the fault analysis device;
the signal conversion device is used for converting time domain and frequency domain signals of the vibration monitoring device and detecting vibration data based on the converted signals;
the fault analysis device is used for periodically sending detection signals to the oil analysis device and the vibration monitoring device, comparing and analyzing the received oil analysis result and the vibration data of the wind turbine gearbox, and diagnosing flaws of the wind turbine gearbox according to the comparison and analysis result.
Further, the oil analysis device comprises a double-color optical microscope and an iron spectrometer, the iron spectrometer distinguishes ferromagnetic metal particles in the oil according to sizes under the action of a high-intensity magnetic field and arranges the ferromagnetic metal particles in a regular shape to form a spectrum sheet, and the double-color optical microscope is used for determining the materials and the wear types of the wear particles according to the sizes, the numbers, the shapes and the colors of the wear particles on the spectrum sheet obtained by the iron spectrometer.
Furthermore, the vibration monitoring device comprises a vibration acquisition device and a filtering device, the filtering device adopts a high-pass filter for filtering and filtering low-frequency coupling signal component interference, the vibration acquisition device is used for acquiring micro vibration generated by a gear of the wind turbine generator, and then an MAT-LAB engine is called to perform time domain and frequency domain signal processing analysis on the acquired data.
Further, the signal conversion device comprises a converter and an acceleration sensor, the conversion device converts the time domain signal and the frequency domain signal of the vibration, and discrete Fourier transform is performed on the discrete acceleration time domain signal acquired by the acceleration sensor to obtain a frequency domain expression of the discrete acceleration time domain signal.
Furthermore, the fault analysis device comprises a positioning module, a data processing module and a signal display module, wherein the data processing module intelligently analyzes the time domain signal and the frequency domain signal, positions the fault through the positioning module, and sends fault position data to the terminal through the signal display module.
Further, the terminal includes a display device for displaying the defect data and an alarm device for flashing at different frequencies according to the size of the defect data.
Further, the larger the fault data received by the warning device, the larger the fault defect and the faster the blinking frequency, whereas the smaller the fault data received by the warning device, the smaller the fault defect and the smaller the blinking frequency.
Further, the data processing module collects fault data of the wind turbine generator gearbox during operation, normalizes the collected fault data, inputs the operation data into a Relief-F algorithm, and outputs weights of different fault data, so that the position of a flaw is judged.
Further, the fault data comprise an amplitude domain deviation index, an amplitude domain margin index, a frequency domain waveform index and an energy index of the wind turbine generator gearbox.
Furthermore, the oil analysis device and the vibration monitoring device both comprise signal sending modules, and the signal sending modules are in wireless connection with the signal receiving modules of the fault analysis device.
The scheme has the following working processes: the ferrograph distinguishes ferromagnetic metal particles in oil according to size and is regularly arranged to form a spectrum plate under the action of a high-intensity magnetic field, the bicolor optical microscope is used for determining the material and the wear type of the wear particles according to the size, the number, the shape and the color of the wear particles on the spectrum plate obtained by the ferrograph, the filtering device adopts a high-pass filter for filtering and filtering low-frequency coupling signal component interference, the vibration acquisition device is used for acquiring micro vibration generated by a gear of a wind turbine generator, then an MAT-LAB engine is called for carrying out time domain and frequency domain signal processing analysis on the acquired data, the conversion device converts a time domain signal and a frequency domain signal of the vibration, discrete acceleration time domain signals acquired by the acceleration sensor are subjected to discrete Fourier transform to obtain a frequency domain expression of the discrete acceleration time domain signal, and the data processing module carries out intelligent analysis on the time, and with the help of fault data, the fault is positioned through the positioning module, the fault position data is sent to the terminal through the signal display module, and different frequencies are flickered according to the fault degree.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the purpose of illustrating the technical solutions of the present invention and not for the purpose of limiting the same, and other modifications or equivalent substitutions made by those skilled in the art to the technical solutions of the present invention should be covered within the scope of the claims of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. Wind-powered electricity generation gear box flaw detection system based on vibration time domain and frequency domain signal intelligent analysis, its characterized in that includes: the device comprises an oil liquid analysis device, a vibration monitoring device, a signal conversion device and a fault analysis device;
the oil liquid analysis device is used for analyzing oil liquid of the wind turbine gearbox and sending an oil liquid analysis result to the fault analysis device according to a detection signal sent by the fault analysis device;
the vibration monitoring device is used for monitoring the vibration condition of the wind turbine gearbox and sending the vibration data of the wind turbine gearbox to the fault analysis device according to the detection signal sent by the fault analysis device;
the signal conversion device is used for converting time domain and frequency domain signals of the vibration monitoring device and detecting vibration data based on the converted signals;
the fault analysis device is used for periodically sending detection signals to the oil analysis device and the vibration monitoring device, comparing and analyzing the received oil analysis result and the vibration data of the wind turbine gearbox, and diagnosing flaws of the wind turbine gearbox according to the comparison and analysis result.
2. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 1 is characterized in that: the oil analysis device comprises a bicolor optical microscope and an iron spectrometer, the iron spectrometer distinguishes ferromagnetic metal particles in oil according to sizes under the action of a high-intensity magnetic field and arranges the ferromagnetic metal particles in a regular shape to form a spectrum sheet, and the bicolor optical microscope is used for determining the materials and the wear types of the wear particles according to the sizes, the number, the shapes and the colors of the wear particles on the spectrum sheet obtained by the iron spectrometer.
3. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 1 is characterized in that: the vibration monitoring device comprises a vibration acquisition device and a filtering device, the filtering device adopts a high-pass filter for filtering and filtering low-frequency coupling signal component interference, the vibration acquisition device is used for acquiring micro vibration generated by a gear of the wind turbine generator, and an MAT-LAB engine is called to perform time domain and frequency domain signal processing analysis on acquired data.
4. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 1 is characterized in that: the signal conversion device comprises a converter and an acceleration sensor, the conversion device converts a time domain signal and a frequency domain signal of vibration, and discrete acceleration time domain signals collected by the acceleration sensor are subjected to discrete Fourier transform to obtain a frequency domain expression of the discrete acceleration time domain signals.
5. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 1 is characterized in that: the fault analysis device comprises a positioning module, a data processing module and a signal display module, wherein the data processing module intelligently analyzes time domain and frequency domain signals, positions flaws through the positioning module and sends flaw position data to the terminal through the signal display module.
6. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 5 is characterized in that: the terminal comprises a display device and an alarm device, wherein the display device is used for displaying the defect data, and the alarm device flickers at different frequencies according to the size of the defect data.
7. The wind power gearbox flaw detection system based on intelligent analysis of vibration time domain and frequency domain signals as claimed in claim 6, wherein: the larger the fault data received by the alarm device, the larger the fault defect and the faster the flashing frequency, whereas the smaller the fault data received by the alarm device, the smaller the fault defect and the lower the flashing frequency.
8. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 5 is characterized in that: the data processing module collects fault data of the wind turbine generator gearbox during operation, normalizes the collected fault data, inputs the operation data into a Relief-F algorithm, and outputs weights of different fault data, so that the position of a flaw is judged.
9. The wind power gearbox flaw detection system based on intelligent analysis of vibration time domain and frequency domain signals as claimed in claim 8, wherein: the fault data comprise an amplitude domain deviation index, an amplitude domain margin index, a frequency domain waveform index and an energy index of the wind turbine generator gearbox.
10. The wind power gearbox flaw detection system based on vibration time domain and frequency domain signal intelligent analysis of claim 1 is characterized in that: the oil analysis device and the vibration monitoring device both comprise signal sending modules, and the signal sending modules are in wireless connection with the signal receiving modules of the fault analysis device.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103364189A (en) * | 2013-07-15 | 2013-10-23 | 中国水利电力物资华南公司 | Online fault diagnosis system of wind turbine generator gear case |
| CN104977047A (en) * | 2015-07-22 | 2015-10-14 | 中国长江三峡集团公司 | Wind turbine online condition monitoring and health assessment system and method thereof based on vibration and oil |
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- 2020-07-01 CN CN202010616477.8A patent/CN111692054A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103364189A (en) * | 2013-07-15 | 2013-10-23 | 中国水利电力物资华南公司 | Online fault diagnosis system of wind turbine generator gear case |
| CN104977047A (en) * | 2015-07-22 | 2015-10-14 | 中国长江三峡集团公司 | Wind turbine online condition monitoring and health assessment system and method thereof based on vibration and oil |
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