滚动轴承故障振动信号的分析方法研究  

Study on Analysis Method for Vibration Signal of Fault Diagnosis of Roller Bearing

作　　者：耶晓东[1] 

机构地区：[1]陕西理工学院物电学院,陕西汉中723003

出　　处：《煤矿机械》2012年第12期257-259,共3页Coal Mine Machinery

基　　金：陕西省科技厅自然科学基金项目(2011JQ1003)

摘　　要：针对滚动轴承故障信号具有非平稳、非高斯的特点,提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上,以滚动轴承外圈故障振动信号为例,采用多种信号处理方法进行了分析。结果表明,各种分析方法在分析轴承故障时的特点各不相同,在实际使用中,可将时域分析与小波分析综合使用,实现轴承状态的实时监测与故障的准确定位。For nonstationary and non-Gaussian features of rolling bearing fault signals,the method of combination time domain analysis and wavelet transform for bearing fault diagnosis is put forward. Based on theory of different signal analysis method, the vibration signal of roller bearing with external fault was analyzed by different signal analysis method. The results showed that each method has its specific characteristics. The method of combination time domain analysis and wavelet transform can be used, in order to realize bearing state real-time monitoring and obtain fault accurate location.

关 键 词：故障诊断 轴承 时域分析 小波分析 

分 类 号：TH133.33[机械工程—机械制造及自动化]