提升小波变换在轴承故障诊断中的应用  

Application of Lifting Wavelet Transform in Fault Diagnosis

作　　者：高国荣[1] 李文敏[1] 

机构地区：[1]西北农林科技大学理学院应用数学系,陕西杨凌712100

出　　处：《轴承》2008年第5期35-38,共4页Bearing

基　　金：西北农林科技大学人才基金(01140406)

摘　　要：提升小波变换可以通过设计预测系数和提升系数获得具有某种特性的小波基函数,因而对信号的适应能力更强。介绍了提升小波变换的原理,提出了一种自适应阈值小波去噪方法,并将其应用于轴承故障诊断中。In lifting wavelet transform, wavelet based function with some special characteristic can be obtained by means of designing prediction and update coefficients. The principle of lifting wavelet transform is described, and a noise filtering method is presented based on adaptive threshold for wavelet, which is applied to fault diagnosis of roller bearing. Experimental result show the proposed fault diagnosis method is very efficient.

关 键 词：滚动轴承 故障诊断 提升小波变换 自适应阈值 

分 类 号：TH133.33[机械工程—机械制造及自动化] TN911.7[电子电信—通信与信息系统]