基于小波包分析的电动机轴承故障诊断  

The Fault Diagnosis of Motor Bearing Based on Wavelet Package Analysis

作　　者：田慕玲[1] 陈惠英[1] 田慕琴[1] 

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024

出　　处：《机械制造与自动化》2007年第4期71-75,共5页Machine Building & Automation

基　　金：山西省自然科学基金(20041045);山西省公关项目(2006031153-01)

摘　　要：比较详细地阐述了电动机滚动轴承异常产生的机械振动机理,得出了几种常见故障的频率表现。结合实验数据,对所测得的振动信号进行小波包分解,对特定的频率段与正常信号相应的能量进行比对,确定出故障频率,从而准确找出电动机的故障所属。The fault mechanism of motor rolling bearing has been daborated in this article. The author has also concluded the frequency performance of several kinds of the common faults in the bearing. The vibration signals and the correct signals which are obtained in the experiment are decomposed using wavelet packet. The author makes faults definite after comparing energy of specific frequency bands of fault with ones of normality. Thus the faults are found accurately.

关 键 词：滚动轴承 小波包 故障诊断 故障频率 

分 类 号：TH133.33[机械工程—机械制造及自动化]