Method for improving wind turbine generator gearbox failure level judgment precision

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...

AI Technical Summary

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 through the algorithm, obviously ignoring the influence of other parameters on the fault level, resulting in inaccurate judgment of the fault level

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