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基于EMD与倒谱分析的轴承故障诊断
引用本文:焦卫东,朱有剑. 基于EMD与倒谱分析的轴承故障诊断[J]. 机电工程, 2009, 26(2): 18-21
作者姓名:焦卫东  朱有剑
作者单位:1. 江西理工大学,机电工程学院,江西,赣州,341000;嘉兴学院,机电工程学院,浙江,嘉兴,314001
2. 江西理工大学,机电工程学院,江西,赣州,341000
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金,浙江省科技计划项目 
摘    要:提出了一种基于经验模态分解与幅值倒频谱分析的轴承故障诊断方法。该方法首先对外圈故障信号作传统的傅里叶幅值谱和幅值倒频谱分析,未能明显地找到故障特征;然后对故障信号做经验模态分解,并对分解出来的第一层本征模函数作倒频谱分析,有效地提取出了故障特征;最后,用该方法分别对具有内圈故障和滚动体故障的轴承故障信号作分析,也有效地提取出了故障特征。实验结果表明,通过联合经验模态分解和倒频谱分析,能有效并且准确地提取出轴承的故障特征频率。

关 键 词:经验模态分解  倒频谱  滚动轴承  故障诊断  本征模函数

Bearing fault diagnosis base on EMD and cepstrum analysis
JIAO Wei-dong,ZHU You-jian. Bearing fault diagnosis base on EMD and cepstrum analysis[J]. Mechanical & Electrical Engineering Magazine, 2009, 26(2): 18-21
Authors:JIAO Wei-dong  ZHU You-jian
Affiliation:1.Mechanical and Electrical Engineering College;Jiangxi University of Science and Technology;Ganzhou 341000 China;2.Mechanical and Electrical Engineering College;Jiaxing University;Jiaxing 314001;China
Abstract:A method based on empirical mode decomposition(EMD) and amplitude cepstrum analysis for bearing fault diagnosis was introduced.Firstly,the fault signal was analyzed by traditional Fourier transformation and amplitude cepstrum analysis,but detected the fault feature ineffectively.Then,the outer-race faults signal was decomposed by the EMD,the first intrinsic mode function(IMF) was analyzed by cepstrum spectrum and extracted the fault feature effectively.At last,the fault bearing signals with inner-race and b...
Keywords:empirical mode decomposition (EMD)  cepstrum  rolling bearing  fault diagnosis  intrinsic mode function(IMF)
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