Method for improving wind turbine generator gearbox failure level judgment precision

A fault level, wind turbine technology, applied in the direction of machine gear/transmission mechanism testing, etc., can solve problems such as inaccurate fault level judgment

Active Publication Date: 2014-07-23
ZHONGNENG POWER TECH DEV
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Problems solved by technology

[0003] The traditional fault level judgment method only selects the vibration amplitude as the only judgment basis, and judges the fault level th

Method used

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  • Method for improving wind turbine generator gearbox failure level judgment precision
  • Method for improving wind turbine generator gearbox failure level judgment precision
  • Method for improving wind turbine generator gearbox failure level judgment precision

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Embodiment Construction

[0037] A method for improving the judgment accuracy of a wind turbine gearbox fault level involved in the present invention is based on the fusion analysis of the four fault parameters of the vibration signal of the gearbox bearing part, the wear particles in the gearbox oil, the gearbox oil temperature, and the gearbox bearing temperature The method is used to improve the accuracy of the judgment of the fault level of the gearbox of the wind turbine.

[0038] like figure 1 The schematic diagram shown, including the steps:

[0039] S10: According to the historical data, for different fault types, determine the fault parameter ranges of different fault levels.

[0040] The faults of wind turbine gearboxes are commonly found in four parts: bearing inner ring, bearing outer ring, bearing rolling body and bearing cage. Therefore, the faults that appear in the above four locations are divided into four types of faults.

[0041] Further, the above four types all include four faul...

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Abstract

The invention provides a method for improving wind turbine generator gearbox failure level judgment precision. The method comprises the steps that A, a failure type is determined according to the vibration signal characteristic value of a gearbox bearing; B, the distribution condition of all currently-monitored parameters corresponding to all monitored objects of a wind turbine generator gearbox in a failure level matrix of the failure type is determined, the failure level matrix comprises set failure levels, and each failure level comprises the value ranges of the parameters corresponding to the monitored objects of the wind turbine generator gearbox under the failure level; C, the occurrence probability of each failure level is calculated according to the distribution condition, and the current failure level is determined according to the occurrence probability. Therefore, schematic diagram convergence analysis can be carried out based on different weights of multiple kinds of failure signals, the blindness of locating the failure through a single failure parameter is avoided, the false alarm rate is lowered, and the wind turbine generator gearbox failure level judgment precision is improved.

Description

technical field [0001] The invention relates to the technical field of monitoring of wind turbines, in particular to a method for improving the judgment accuracy of the fault level of a gearbox of a wind turbine. Background technique [0002] Wind turbine mechanical transmission faults will cause symptoms of various factors over time. For example, the occurrence of a bearing fault first appears abnormal vibration signal characteristics, and then the bearing temperature rises as the fault develops, and finally the bearing failure occurs. Complete damage, and the occurrence of gear failure is the abnormality of the vibration signal characteristics first, then the abnormality of the oil in the gearbox, and finally the breakage of the gear teeth or even the scrapping of the entire gearbox. [0003] The traditional fault level judgment method only selects the vibration amplitude as the only judgment basis, and judges the fault level through an algorithm, obviously ignoring the in...

Claims

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Application Information

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IPC IPC(8): G01M13/02
Inventor 周继威申烛韩明朱志成王栋张波张林
Owner ZHONGNENG POWER TECH DEV
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