基于小波理论的低速重载轴承的故障诊断研究  

Research on Failure Diagnosis of Low-Speed Over-Loading Bearing Using Wavelet Theory

作　　者：程秀芳[1] 陶文[2] 

机构地区：[1]河北理工大学机械工程学院,河北唐山063009 [2]唐山钢铁股份有限公司,河北唐山063000

出　　处：《组合机床与自动化加工技术》2009年第12期48-50,共3页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：唐山市科技攻关计划项目(03204501A-21)

摘　　要：针对低速重载设备故障的特点,采集低速滚动轴承的故障信号。基于小波分析理论,对故障信号进行多尺度分解和信号重构,利用特定频带的信息进行故障诊断。结果表明,应用小波分析可以提取低速滚动轴承的故障特征频率。In view of low-speed Over-Loading equipment breakdown characteristic, low-speed rolling bearing＇ s fault signal was gathered. Based on wavelet analysis theory, carry out multi-scale signal decomposition and signal reconstruction to the fault signal. Uses information on the specific frequency bands to carry on the failure diagnosis. The result indicated that the low-speed rolling bearing＇ s Fault characteristic frequency can be extracted using the wavelet analysis.

关 键 词：低速重载机械 轴承 小波变换 故障诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化]