Fault Feature Extraction of Bearing Fault in Wind Turbine Generator Based on the Variational Modal Decomposition and Spectral Kurtosis

被引：0

作者：

Guo, ShuangWei ^{[1
]}

Zhang, Wenmin ^{[2
]}

Zhao, Hongshan ^{[1
]}

机构：

[1] North China Elect Power Univ, Elect & Elect Engn Inst, Baoding 071003, Hebei Province, Peoples R China

[2] Elect Power Maintenance Co GanSu Prov, Lanzhou, Gansu, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON ENERGY SCIENCE AND CHEMICAL ENGINEERING (ISESCE 2015) | 2016年 / 45卷

关键词：

Variational mode decomposition; Spectral Kurtosis; Wind turbine generator; Fault feature extraction;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In order to extract fault features of rolling bearing effectively, a method which is based on variational mode decomposition and spectral kurtosis was proposed. The Intrinsic Mode Function (IMF) is obtained by variational mode decomposition. The intrinsic mode function (IMF) is obtained by variational mode decomposition. The IMF containing fault information was selected to reconstructed based on the spectral kurtosis and then extracting the fault feature frequency by envelope spectrum analysis and good results are obtained.

引用

页码：59 / 62

页数：4

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