Diagnosis of Electrical Corrosion Fault in Wind Turbine Generator Bearing Based on Vibration Signal Analysis

doi:10.11930/j.issn.1004-9649.201903023

Abstract

Abstract: The electrical corrosion is a normal fault mode of generator bearing in wind turbine. Besides, electrical corrosion fault has ripped effect on bearing surface and excite relative weaker impulse response than local fault, which makes it difficult to extract fault features. Based on the characteristics of vibration signal due to the electrical corrosion, the minimum entropy deconvolution (MED) is used as the pre-processing method to enhance impulse fault feature in vibration signals. Then, the envelope spectrum is used to identify bearing fault feature to improve the diagnosis effect. In this paper, the basic principle and implementation process of MED is introduced. Furthermore, the proposed method is used to diagnosis the electrical corrosion fault of a real case of bearing in a wind turbine generator. Vibration signal measured on the generator bearing box is processed with MED and envelope spectrum. And diagnosis of electrical corrosion faults is realized. The results confirm validity of the application effect of minimum entropy deconvolution method.

Key words: wind turbine generator, bearing electrical corrosion fault, vibration analysis, minimum entropy deconvolution, fault diagnosis

CLC Number:

TK83

JIANG Rui, TENG Wei, LIU Xiaobo, TANG Shiyao, LIU Yibing. Diagnosis of Electrical Corrosion Fault in Wind Turbine Generator Bearing Based on Vibration Signal Analysis[J]. Electric Power, 2019, 52(6): 128-133.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201903023

https://www.electricpower.com.cn/EN/Y2019/V52/I6/128

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