首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波和EMD的滚动轴承非接触声发射诊断方法
引用本文:戴光,余永增,张颖,于江林.基于小波和EMD的滚动轴承非接触声发射诊断方法[J].化工机械,2009,36(4):326-330.
作者姓名:戴光  余永增  张颖  于江林
作者单位:大庆石油学院,黑龙江省大庆市,163318
基金项目:黑龙江省自然科学基金项目资助(E2007-02);;黑龙江省教育厅科学技术研究项目资助(11521004)
摘    要:采用声发射技术对滚动轴承进行非接触检测,利用小波分解把故障轴承信号分解在不同频段,然后依照各频带能量重构信号,消除背景噪声,对降噪信号进行EMD分解,对分解后感兴趣的IMF进行边际谱分析,观察特征频率,得到清晰的故障信息,以此诊断轴承故障。

关 键 词:滚动轴承  声发射  非接触检测  小波分解  EMD  IMF  Hilbert边际谱

Non-Contacting Acoustic Emission Inspection Technique for Rolling Bearings based on Wavelet Analysis and Empirical Mode Decomposition(EMD)
DAI Guang,YU Yongzeng,ZHANG Ying,YU Jianglin.Non-Contacting Acoustic Emission Inspection Technique for Rolling Bearings based on Wavelet Analysis and Empirical Mode Decomposition(EMD)[J].Chemical Engineering & Machinery,2009,36(4):326-330.
Authors:DAI Guang  YU Yongzeng  ZHANG Ying  YU Jianglin
Affiliation:Daqing Petroleum Institute;Daqing;163318;Heilongjiang;China
Abstract:Rolling bearings were inspected using non-contacting acoustic emission technique.The signals of the fault bearings were decomposed using the wavelet analytical method in different frequency bands,then the signals were reconstructed based on the energy of each frequency band to cancel background noises and to decompose the lowered noise signals in EMD.A Hilbert marginal spectrum analysis was conducted of the interesting intrinsic mode function(IMF) after decomposition,the characteristic frequency bands were ...
Keywords:EMD  IMF
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号