小波变换在滚动轴承故障分析中的应用  

Application of Wavelate in Fault Analysis of Rolling Bearing

作　　者：安婧[1] 伉大俪 郭海涛 杨志民[1] 

机构地区：[1]西北师范大学,730070 [2]大连圣力来监测技术有限公司,116031 [3]大连测控技术研究所,116013

出　　处：《中国科技信息》2009年第24期113-114,128,共3页China Science and Technology Information

摘　　要：滚动轴承损伤类故障的分析诊断基础是提取故障信息,其早期表现微弱,常被大量的噪声淹没。本文给出了一种利用正交小波变换提取滚动轴承故障信息的方法。通过对实测的振动信号进行小波分解,较好地提取出了轴承故障的特征频率,并对故障进行了定位。It is the basic of fault diagnosis of the rolling bearing with localized defect that is pick up signal characteristics of fault,which is very weak at the very start,and always concealed by strong noise.This paper has designed a method of picking up signal characteristic of fault by using orthogonal wavelate transform.Results show that the method is effective in picking up character frequency of rolling bearing,and the fault diagnosis of roller bearing is successfully carried out.

关 键 词：滚动轴承 小波变换 正交小波基 特征频率 故障分析 

分 类 号：TH133.33[机械工程—机械制造及自动化] TN919.8[电子电信—通信与信息系统]