机械科学与技术2012，Vol.31Issue(1)：53-58,6.
基于小波变换和盲源分离的滚动轴承耦合故障诊断方法
A Rolling Bearing Coupling Fault Diagnosis Method Based on Wavelet Transform and Blind Source Separation
摘要
Abstract
We perform the wavelet decomposition of the fault signal of a rolling bearing to obtain its resonance frequency band and then demodulate its envelop with the wavelet transform.Then we carry out the blind source separation of the fault signal thus demodulated and the frequency spectral transform of the fault signal thus separated.The frequency spectral diagram clearly shows the frequencies of the fault features of the rolling bearing.Finally,we use the experimental rig for the fault diagnosis of a rotor-rolling bearing to simulate its coupling fault.The simulation examples verify that our fault diagnosis method has better de-noising capability and can better extract the fault features of the rolling bearing.关键词
滚动轴承/故障诊断/小波变换/盲源分离Key words
rolling bearing/coupling fault diagnosis/wavelet transform/blind source separation分类
机械制造引用本文复制引用
乔保栋,陈果,曲秀秀..基于小波变换和盲源分离的滚动轴承耦合故障诊断方法[J].机械科学与技术,2012,31(1):53-58,6.基金项目
国家自然科学基金项目 （）
航空科学基金项目（2007ZB52022）资助 （）
