CHINESE JOURNAL OF MECHANICAL

ENGINEERING

2000 Vol.36 No.12 P.95-100

基于连续小波变换的信号检测技术与故障诊断

林京　 屈梁生

摘　要：通过分析指出，连续小波变换具有很强的弱信号检测能力，非常适合故障诊断领域。从参数离散到参数优化系统研究了连续小波变换的工程应用方法，建立

了“小波熵”的概念，并以此作为基小波参数的择优标准。论文最后把连续小波技术应用在滚动轴承滚道缺陷和齿轮裂纹的识别中，诊断效果十分理想。

关键词：小波故障诊断滚动轴承齿轮

分类号：TH133．33　TH132．41

FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON

CONTINUOUS WAVELET TRANSFORM

Lin Jing（State Key Laboratory of Acoustics, Institute ofAcou stics, Chinese Academy of

Science）　

Qu Liangsheng（Xi’an Jiaotong University）

Abstract：It is pointed out that continuous wavelet transform(CWT) has powerful ability for weak signal detection which help itself to be used for fault diagnosis. The method for parameter discretization and optimi zation of CWT is estabished. The concept of wavelet entropy is introduced and it is used as a rule for parameter optimization. In the end, CWT is used fo r fault diagnosis of rolling bearing and gear-box. Very good results are obtain ed using this method.

Keywords：Wavelet　Fault diagnosis　Rolling bearing　Gear