中国机械工程2017，Vol.28Issue(18)：2183-2188,2197,7.DOI:10.3969/j.issn.1004-132X.2017.18.006
基于小波分析的FastICA联合降噪方法在滚动轴承故障诊断中的应用研究
Application Research of FastICA Noise Reduction Method Based on Wavelet Analysis in Fault Diagnosis of Rolling Bearing
摘要
Abstract
There is a problem of depending on experience of selecting parameters when wavelet a-nalysis method is used to make noise reductions of vibration signals.And there is a problem of unde-termined parameters when ICA method is used to make noise reduction of vibration signal.In order to avoid disadvantages of wavelet denoising and ICA method when they were used respectively.A meth-od of wavelet denoising and FastICA independent component analysis based on negative entropy was proposed to deal with the noise signal of rolling bearings.Firstly,original signals were processed by wavelet denoising.Then the processing results were combined with the original signal to form input matrix of FastICA,and the FastICA noise reduction processes were performed.Finally,the effective-ness of the method was verified by vibration signal of rolling bearings.Experimental analysises show that this method improved the kurtosis of vibration signals and the purposes of noise reductions of vi-brartion signals of rolling bearings was achieved.关键词
小波分析/独立分量分析/降噪/滚动轴承Key words
wavelet analysis/independent component analisis (ICA )/noise reduction/rolling bearing分类
机械制造引用本文复制引用
吴雅朋,王吉芳,徐小力,蒋章雷..基于小波分析的FastICA联合降噪方法在滚动轴承故障诊断中的应用研究[J].中国机械工程,2017,28(18):2183-2188,2197,7.基金项目
国家高技术研究发展计划(863 计划)资助项目(2015AA043702 ) （863 计划）
北 京 市 教 委 科 研 计 划 资 助 项 目(KM201611232020) （KM201611232020）
