基于小波分析与Wigner分布的对旋风机轴承故障诊断  

The Bearing Fault Diagnosis of the Counter-rotating Fan Based on the Wavelet Analysis and Wigner Distribution

作　　者：谢远森[1] 李意民[1] 孙婉[1] 周忠宁[1] 

机构地区：[1]中国矿业大学机电学院,徐州市221008

出　　处：《风机技术》2009年第6期66-68,共3页Chinese Journal of Turbomachinery

基　　金：江苏省自然科学基金项目资助(BK2005018);江苏省研究生科研创新计划项目(CX07B-061Z)

摘　　要：利用小波信号重构和Wigner时频分布对矿用对旋风机轴承进行了故障诊断,介绍了分析方法。结果表明:基于小波信号重构和Wigner时频分布的故障诊断方法具有较高的时频分辨率,能够在时域上更加合理地判断偶发性故障信号和真实故障信号的区别,更加准确地给出频率分量的分布,从而正确地判断轴承的早期故障。The wavelet signal reconstruction and Wigner time-frequency distribution were used in the bearing fault diagnosis of the counter-rotating fan. The results showed that the fault diagnosis method based on wavelet signal reconstruction and Wigner time-frequency distribution has a high time and frequency resolving power, and were more reasonable to judge the difference between the haphazard signal and the real fault signal in the time domain. So it can gain frequency distribution of the fault signal more accurately, and estimate the fault more correctly in early stage.

关 键 词：对旋式通风机 轴承 小波分析 WIGNER分布 故障诊断 

分 类 号：TH432.1[机械工程—机械制造及自动化] TH133.3