Research on Fault Diagnosis for Rotating Machinery Based on Semi-soft Wavelet Threshold and EMD

China Mechanical Engineering ›› 2013, Vol. 24 ›› Issue (10): 1279-1283.

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Research on Fault Diagnosis for Rotating Machinery Based on Semi-soft Wavelet Threshold and EMD

Meng Zong;Li Shanshan

Key Laboratory of Measurement Technology and Instrumentation of Hebei Province,Yanshan University,Qinhuangdao,Hebei,066004

Online:2013-05-25 Published:2013-05-28
Supported by:

National Natural Science Foundation of China（No. 51105323）;
Hebei Provincial Natural Science Foundation of China（No. E2012203166）

基于小波半软阈值和EMD的旋转机械故障诊断

孟宗;李姗姗

燕山大学河北省测试计量技术及仪器重点实验室,秦皇岛,066004

基金资助:
国家自然科学基金资助项目(51105323);河北省自然科学基金资助项目(E2012203166)
National Natural Science Foundation of China（No. 51105323）;
Hebei Provincial Natural Science Foundation of China（No. E2012203166）

Abstract

Abstract:

A de-noising method was proposed based on combined semi-soft wavelet threshold and EMD.Firstly,the semi-soft wavelet threshold method was applied to reduce the random noise.At the same time,it could
reduce the decomposition layers and end effect of the EMD.Then,EMD was performed properly on de-noising post-processing aiming at de-nosing and preserving useful information.The simulation and experimental results show that this method can extract fault features of the rotating machinery effectively so as to realize the fault diagnosis.

Key words: semi-soft wavelet threshold, empirical mode decomposition(EMD), de-noising, fault diagnosis

摘要：

将小波半软阈值法和经验模态分解(EMD)结合,提出了基于小波半软阈值的经验模态分解降噪方法。该方法首先利用小波半软阈值法减少随机噪声干扰,减小经验模态分解的分解层数及边缘效应的影响,然后进行适当的经验模态分解相关度消噪后处理,在有效降噪的同时较好地保存了原信号的有用信息。仿真和实验结果表明,该方法可实现噪声环境下旋转机械故障特征的有效提取,从而实现故障诊断。

关键词: 小波半软阈值, 经验模态分解(EMD), 信号降噪, 故障诊断

CLC Number:

MENG Zong, LI Pan-Pan. Research on Fault Diagnosis for Rotating Machinery Based on Semi-soft Wavelet Threshold and EMD[J]. China Mechanical Engineering, 2013, 24(10): 1279-1283.

孟宗, 李姗姗. 基于小波半软阈值和EMD的旋转机械故障诊断[J]. 中国机械工程, 2013, 24(10): 1279-1283.

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Research on Fault Diagnosis for Rotating Machinery Based on Semi-soft Wavelet Threshold and EMD

基于小波半软阈值和EMD的旋转机械故障诊断

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