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基于振动的滚动轴承故障诊断技术研究
引用本文:蒋超,张应红,徐晋勇,赵家臣,高成. 基于振动的滚动轴承故障诊断技术研究[J]. 煤矿机械, 2012, 33(2): 235-237
作者姓名:蒋超  张应红  徐晋勇  赵家臣  高成
作者单位:1. 桂林电子科技大学机电工程学院,广西桂林,541004
2. 广西右江矿务局,广西田东,531501
基金项目:科技部抗美援朝人员服务企业行动项目(,广西科技攻关项目资助(
摘    要:从振动信号处理角度阐述了滚动轴承故障诊断的诊断流程,总结了时域分析、频域分析(包括倒频谱分析、包络分析和谱峭度法)、小波分析、循环平稳信号分析4种主流的滚动轴承故障特征信号提取处理方法最新研究进展。并在此基础上,进一步指出了该技术的发展方向。

关 键 词:滚动轴承  故障诊断  包络分析  小波分析  循环平稳

Research on Fault Diagnosis Techniques for Roller Element Bearing Based on Vibration Analysis
JIANG Chao , ZHANG Ying-hong , XU Jin-yong , ZHAO Jia-chen , GAO Cheng. Research on Fault Diagnosis Techniques for Roller Element Bearing Based on Vibration Analysis[J]. Coal Mine Machinery, 2012, 33(2): 235-237
Authors:JIANG Chao    ZHANG Ying-hong    XU Jin-yong    ZHAO Jia-chen    GAO Cheng
Affiliation:1(1.School of Mechanical and Electrical Engineering,Guilin University of Electronic Technology,Guilin 541004,China;2.Guangxi Youjiang Mine Bureau,Tiandong 531501,China)
Abstract:Fault diagnosis process of rolling element bearing was stated based on vibrarion analysis.The aim of this review is to provide an up-to-date summary of recent advances in field of feature extraction method in rolling element bearing fault diagnosis,which involves time domain analysis,spectral analysis(including cepstrum,envelope analysis and spectral kurtosis),wavelet analysis and cyclostationary signals analysis.On this basis,this paper also discussed developing direction of this technology.
Keywords:rolling element bearing  fault diagnosis  envelope analysis  wavelet analysis  cyclostationarity
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