Bearings Fault Detection and Diagnosis Using Envelope Spectrum of Laplace Wavelet Transform

被引:0
|
作者
Li, Hui [1 ]
Fu, Lihui [1 ]
Zheng, Haiqi [2 ]
机构
[1] Shijiazhuang Inst Railway Technol, Dept Electromech Engn, Shijiazhuang, Peoples R China
[2] Shijiazhuang Mech Engn Coll, Dept 1, Shijiazhuang, Peoples R China
基金
中国国家自然科学基金;
关键词
fault diagnosis; bearing; laplace wavelet transform; envelope spectrum; signal processing; DEFECTS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Envelope spectrum analysis is widely used to detection bearing localized fault. In order to overcome the shortcomings in the traditional envelope analysis in which manually specifying a resonant frequency band is required, a new approach based on the fusion of the Laplace wavelet transform and envelope spectrum is proposed for detection and diagnosis defects in rolling element bearings. This approach is capable of completely extracting the characteristic fault frequencies related to the defect. Experiment results show that the proposed approach is sensitive and reliable in detecting defects on the inner race and outer race of bearings.
引用
收藏
页码:4143 / +
页数:3
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