CN104484827A - Wind power generator set failure frequency component extraction method - Google Patents
Wind power generator set failure frequency component extraction method Download PDFInfo
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- CN104484827A CN104484827A CN201410520358.7A CN201410520358A CN104484827A CN 104484827 A CN104484827 A CN 104484827A CN 201410520358 A CN201410520358 A CN 201410520358A CN 104484827 A CN104484827 A CN 104484827A
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Abstract
The invention relates to a wind power generator set failure frequency component extraction method and belongs to the technical field of rotating machinery failure. According to the method, dimension of a horizontal ordinate of frequency spectrum is changed from hertz to dimensionless order by utilizing an average rotating speed, and failure frequency of the a wind turbine in different rotation speeds is allowed to keep unchanged so as to realize amplitude extraction of the failure frequency. The method effectively overcomes the defects of low high-order precision and additional noise of an order analysis method, is small in computation amount, is suitable for an embedded system, and provides an effective technological mean for failure frequency component extraction of a wind power generator set and other variable rotation speed rotary machines.
Description
Technical field
The present invention relates to a kind of failure-frequency component extracting method of wind power generating set, belong to rotating machinery fault technical field.
Background technology
Wind power generating set fault diagnosis belongs to rotary machinery fault diagnosis field, but is with usual rotary machinery fault diagnosis difference, and aerogenerator is a kind of rotating machinery of variable speed, and the failure-frequency of its gear and bearing is with rotation speed change.Therefore, in the past for the extracting method of characteristic fault frequency determining rotating speed rotating machinery, and wind power generating set is not suitable for.Current, the main method extracting variable speed unit failure-frequency composition is order analysis.Order analysis is a kind of angularly method for resampling based on mathematical interpolation, just can only can reach satisfactory numerical precision, and calculated amount is not suitable for more greatly being applied in Embedded hardware system on lower order.
Summary of the invention
The object of this invention is to provide a kind of failure-frequency component extracting method of wind power generating set, to solve the extraction problem of the characteristic fault frequency of aerogenerator under different rotating speeds condition.
The present invention is for solving the problems of the technologies described above and providing a kind of failure-frequency component extracting method of wind power generating set, and this extracting method comprises the following steps:
1) all failure-frequencies of gear case gear and bearing are calculated, to obtain failure-frequency group;
2) intercept the vibration acceleration time-domain signal of the wind power generating set in setting-up time interval, and FFT conversion is carried out to this time-domain signal, to obtain the frequency spectrum of vibration signal;
3) gather the tach signal of wind power generating set, calculate wind power generating set high speed shaft in setting-up time interval according to this tach signal and turn average frequently, minimum value and maximal value;
4) by the horizontal ordinate of vibration signals spectrograph divided by the average turned frequently, make the dimension of the horizontal ordinate of frequency spectrum convert nondimensional order to by hertz;
5) judge whether the difference turned between maximal value frequently and minimum value is less than setting value, if be less than, then after conversion in frequency spectrum, extraction step 1) in obtain the corresponding amplitude of failure-frequency as failure-frequency composition, otherwise, extraction step 1) in setting district, failure-frequency left and right the maximal value of corresponding amplitude as failure-frequency composition.
Described step 1) in calculate failure-frequency time main shaft reference rotation velocity be 1PRM.
Described step 2) in the vibration acceleration time-domain signal of Wind turbines be adopt acceleration transducer measurement to obtain, described acceleration transducer is at least 4, is separately positioned on the measuring point of main bearing and gear case the first row star two measuring points, other measuring points of gear case and generator.
Described main bearing and gear case the first row star two measuring points intercept the length of 20 seconds, and the measuring point on other measuring points of gear case and generator intercepts the data of 10 seconds length, and the data initial time that all passages intercept is identical.
Described step 3) be gathered by the tach signal of pulsed speed probe to engine, described pulsed speed probe is arranged on shaft coupling generator side.
The invention has the beneficial effects as follows: the present invention utilizes mean speed that the dimension of the horizontal ordinate of frequency spectrum is transformed into nondimensional order by hertz, the failure-frequency of blower fan when different rotating speeds is remained unchanged, to realize the extraction of failure-frequency amplitude.The present invention effectively overcomes the shortcoming of the lower and additional noise of the higher order accuracy of order analysis method, calculated amount is little, be applicable in embedded system, for the failure-frequency constituents extraction of Wind turbines and other variable speed rotating machinery provides a kind of effective technological means.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the failure-frequency component extracting method of wind power generating set of the present invention.
Embodiment
The principle of wind power generating set failure-frequency component extracting method of the present invention as shown in Figure 1, utilize mean speed that the dimension of the horizontal ordinate of frequency spectrum is transformed into nondimensional order by hertz, the failure-frequency of blower fan when different rotating speeds is remained unchanged, and according to the region of search of amplitude determination failure-frequency magnitude extraction of generator speed conversion in the time interval of data acquisition, realize the extraction of failure-frequency amplitude.The concrete steps of the method are as follows:
1., according to structure and the bearing designation of gear case, calculate all failure-frequencies when the speed of mainshaft is 1RPM of gear case gear and bearing, dimension is Hz, because the speed of mainshaft is 1, so now the dimension of failure-frequency is also Order (exponent number).The rotating speed of reference is wind turbine main shaft rotating speed, but speed probe collection is generator speed, needs the no-load voltage ratio divided by gear case to be converted into the speed of mainshaft.
Gear case is identical with industry standard algorithm with the failure-frequency computing method of bearing, no longer illustrates here.
2. under the prerequisite meeting spectral resolution, intercept time-domain signal short as far as possible, and carry out FFT and convert to obtain its frequency spectrum.
The present embodiment is described for MW class wind turbine group, the vibration acceleration signal of degree of will speed up sensor collection intercepts the fragment of 10 seconds to 20 seconds, wherein main bearing and gear case the first row star two measuring points intercept the length of 20 seconds, measuring point on other measuring points of gear case and generator intercepts the data of 10 seconds length, at this moment in section, the frequency domain resolution of 0.05Hz to 0.1Hz can be met, and the rotation speed change of blower fan is little, except extreme hypervelocity operating mode, and the data initial time requiring all passages to intercept is identical.
3. the wind power generating set tach signal measured according to pulsed speed pickup calculates in this time interval, the average of rotating speed, maximal value and minimum value, and converts thereof into Hz, obtains unit high speed shaft and turns average frequently, minimum value and maximal value.Pulsed speed probe and gear ring are arranged on shaft coupling generator side, and gear ring is fixed by bolts on shaft coupling, and the special frock of sensor is arranged on generator casing.
4. by the horizontal ordinate of vibration signals spectrograph divided by the average turned frequently, make the dimension of the horizontal ordinate of frequency spectrum convert nondimensional order to by hertz, obtain acceleration signal to the order spectrum turned frequently.
5. judge whether the maximal value of rotating speed and the difference of minimum value are more than or equal to 2Hz (converting Hz to), if, in order spectrum, in the interval that extraction step 1 obtains about failure-frequency 0.25, the maximal value of corresponding amplitude is as the amplitude of failure-frequency.
If 6. the maximal value of rotating speed and the difference of minimum value are less than 2Hz (converting Hz to), then directly in order spectrum, obtaining amplitude corresponding to failure-frequency in read step 1, is namely the amplitude that this failure-frequency is corresponding.
Further, carry out the operation of step 5 or step 6 for each frequency content in failure-frequency group in step 1, obtain the amplitude that each failure-frequency is corresponding.
It should be noted last that: above embodiment is the non-limiting technical scheme of the present invention in order to explanation only, although with reference to above-described embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that; Still can modify to the present invention or equivalent replacement, and not depart from any modification or partial replacement of the spirit and scope of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (5)
1. a failure-frequency component extracting method for wind power generating set, is characterized in that, this extracting method comprises the following steps:
1) all failure-frequencies of gear case gear and bearing are calculated, to obtain failure-frequency group;
2) intercept the vibration acceleration time-domain signal of the wind power generating set in setting-up time interval, and FFT conversion is carried out to this time-domain signal, to obtain the frequency spectrum of vibration signal;
3) gather the tach signal of wind power generating set, calculate wind power generating set high speed shaft in setting-up time interval according to this tach signal and turn average frequently, minimum value and maximal value;
4) by the horizontal ordinate of vibration signals spectrograph divided by the average turned frequently, make the dimension of the horizontal ordinate of frequency spectrum convert nondimensional order to by hertz;
5) judge whether the difference turned between maximal value frequently and minimum value is less than setting value, if be less than, then after conversion in frequency spectrum, extraction step 1) in obtain the corresponding amplitude of failure-frequency as failure-frequency composition, otherwise, extraction step 1) in setting district, failure-frequency left and right the maximal value of corresponding amplitude as failure-frequency composition.
2. the failure-frequency component extracting method of wind power generating set according to claim 1, is characterized in that, described step 1) in calculate failure-frequency time main shaft reference rotation velocity be 1PRM.
3. the failure-frequency component extracting method of wind power generating set according to claim 2, it is characterized in that, described step 2) in the vibration acceleration time-domain signal of Wind turbines be adopt acceleration transducer measurement to obtain, described acceleration transducer is at least 4, is separately positioned on the measuring point of main bearing and gear case the first row star two measuring points, other measuring points of gear case and generator.
4. the failure-frequency component extracting method of wind power generating set according to claim 3, it is characterized in that, described main bearing and gear case the first row star two measuring points intercept the length of 20 seconds, measuring point on other measuring points of gear case and generator intercepts the data of 10 seconds length, and the data initial time that all passages intercept is identical.
5. the failure-frequency component extracting method of wind power generating set according to claim 2, it is characterized in that, described step 3) be gathered by the tach signal of pulsed speed probe to engine, described pulsed speed probe is arranged on shaft coupling generator side.
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| CN201410520358.7A CN104484827B (en) | 2014-09-29 | 2014-09-29 | A kind of failure-frequency component extracting method of wind power generating set |
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| CN201410520358.7A CN104484827B (en) | 2014-09-29 | 2014-09-29 | A kind of failure-frequency component extracting method of wind power generating set |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110594097A (en) * | 2019-09-10 | 2019-12-20 | 许昌许继风电科技有限公司 | Control method and control system of wind turbine generator |
| CN110793615A (en) * | 2019-11-04 | 2020-02-14 | 许继集团有限公司 | Fan vibration state detection method and device and matching end equivalent excitation determination method |
| CN110907162A (en) * | 2019-12-13 | 2020-03-24 | 北京天泽智云科技有限公司 | Rotating machinery fault feature extraction method without tachometer under variable rotating speed |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006012827A1 (en) * | 2004-07-28 | 2006-02-09 | Igus - Innovative Technische Systeme Gmbh | Method and device for monitoring the state of rotor blades on wind power installations |
| CN102305714A (en) * | 2011-07-27 | 2012-01-04 | 西安交通大学 | Quantification fault detection method of driving chain of wind generating set based on vibration equivalent amplitude value |
| CN102928224A (en) * | 2012-10-24 | 2013-02-13 | 西北工业大学 | Method for detecting bearing fault of wind generating set |
| CN103884502A (en) * | 2014-04-02 | 2014-06-25 | 清华大学 | Method for diagnosing faults of planetary gear system of wind driven generator under variable rotating speed |
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2014
- 2014-09-29 CN CN201410520358.7A patent/CN104484827B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006012827A1 (en) * | 2004-07-28 | 2006-02-09 | Igus - Innovative Technische Systeme Gmbh | Method and device for monitoring the state of rotor blades on wind power installations |
| CN102305714A (en) * | 2011-07-27 | 2012-01-04 | 西安交通大学 | Quantification fault detection method of driving chain of wind generating set based on vibration equivalent amplitude value |
| CN102928224A (en) * | 2012-10-24 | 2013-02-13 | 西北工业大学 | Method for detecting bearing fault of wind generating set |
| CN103884502A (en) * | 2014-04-02 | 2014-06-25 | 清华大学 | Method for diagnosing faults of planetary gear system of wind driven generator under variable rotating speed |
Non-Patent Citations (1)
| Title |
|---|
| 苏连成 等: ""风电机组轴承的状态监测和故障诊断与运行维护"", 《轴承》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110594097A (en) * | 2019-09-10 | 2019-12-20 | 许昌许继风电科技有限公司 | Control method and control system of wind turbine generator |
| CN110793615A (en) * | 2019-11-04 | 2020-02-14 | 许继集团有限公司 | Fan vibration state detection method and device and matching end equivalent excitation determination method |
| CN110793615B (en) * | 2019-11-04 | 2021-09-14 | 许继集团有限公司 | Fan vibration state detection method and device and matching end equivalent excitation determination method |
| CN110907162A (en) * | 2019-12-13 | 2020-03-24 | 北京天泽智云科技有限公司 | Rotating machinery fault feature extraction method without tachometer under variable rotating speed |
| CN110907162B (en) * | 2019-12-13 | 2021-10-15 | 北京天泽智云科技有限公司 | Rotating machinery fault feature extraction method without tachometer under variable rotating speed |
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