Local Mean Decomposition and Its Application to Rotating Machinery Composite Fault Diagnosis

doi:10.3969/j.issn.1006-1335.2012.05.033

›› 2012, Vol. 32 ›› Issue (5): 144-149.DOI: 10.3969/j.issn.1006-1335.2012.05.033

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Local Mean Decomposition and Its Application to Rotating Machinery Composite Fault Diagnosis

XUJi-gang1，ZHAO Rong-zhen2，ZHU Yong-sheng3，YU Hao1

( 1. College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China;2. College of Mechano-Electronic Engineering, Lanzhou University of Technology, Lanzhou 730050, China )3. Theory of Lubrication and Bearing Institute, Xi’an Jiaotong University, Xi’an 710049, China )

Received:2011-12-28 Revised:2012-02-02 Online:2012-10-18 Published:2012-10-15

局部均值分解在旋转机械复合故障诊断中的应用

徐继刚

（ 1. 兰州理工大学计算机与通信学院，兰州 730050; 2. 兰州理工大学机电工程学院，兰州 730050；3. 西安交通大学润滑理论及轴承研究所，西安 710049 ）

通讯作者: 徐继刚
基金资助:
国家自然科学基金(基金编号:50875118)；甘肃省教育厅硕导基金(基金编号:0903-11)

Abstract

Abstract: For the non-stationary characteristic of vibration signal in rotating machinery composite fault diagnosis an analysis method based on LMD(local mean decomposition) was developed. Firstly, the original vibration signal was decomposed into several stationary PF (product function) plus a residual component by using of LMD，then the main components in fault signal were determined by calculation of correlation factor of each PF with the original signal . Finally，the features of shaft fault were extracted by Fast Fourier Transform of low-frequency components, and the features of bearing fault were extracted by envelopment spectrum analysis of high frequency componants. The effectiveness of the method is also proved by analysis to composite fault vibration signal of a gear box.

Key words: vibration and wave , local mean decomposition , shaft , bearing , gear box , fault diagnosis

摘要： 针对旋转机械复合故障振动信号的非平稳特征，开展一种基于局部均值分解(local mean decomposition, LMD)的旋转机械复合故障诊断方法研究。该方法首先通过局部均值分解方法将振动信号分解为若干个PF分量(product function)和一个残余分量之和，然后通过计算各PF分量与原始复合故障信号的相关系数来确定包含故障特征信息的主要成分；最后针对主要成分中的低频分量进行频谱分析从而提取轴的故障特征。针对主要成分中的高频分量采用包络谱分析提取调制故障特征，即提取轴承故障特征。对齿轮箱的轴承、轴复合故障振动信号的分析结果表明了该方法的有效性和可行性。

关键词: 振动与波, 局部均值分解, 轴, 轴承, 齿轮箱, 故障诊断

CLC Number:

TH113

徐继刚1，赵荣珍1，2，朱永生3，于昊1. 局部均值分解在旋转机械复合故障诊断中的应用[J]. 噪声与振动控制, 2012, 32(5): 144-149.

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Local Mean Decomposition and Its Application to Rotating Machinery Composite Fault Diagnosis

局部均值分解在旋转机械复合故障诊断中的应用

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