Feature Extraction of the Rolling Bearing Based on  TimeWavelet Power Envelope Spectrum

doi:10.3696/j.issn.1672-6952.2014.03.019

Journal of Liaoning Petrochemical University ›› 2014, Vol. 34 ›› Issue (3): 75-78.DOI: 10.3696/j.issn.1672-6952.2014.03.019

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Feature Extraction of the Rolling Bearing Based on  TimeWavelet Power Envelope Spectrum

Zhou Weiqiang， Hou Ligang，Su Chengli

(School of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China)

Received:2014-03-01 Revised:2014-04-15 Published:2014-06-25 Online:2017-07-14

基于时间 - 小波能量包络谱的滚动轴承特征提取

周伟强,侯立刚,苏成利

( 辽宁石油化工大学信息控制工程学院,辽宁抚顺1 1 3 0 0 1)

通讯作者: 侯立刚( 1 9 6 3 - ) , 男, 硕士, 教授, 从事工业过程的先进控制及应用的研究; E - m a i l : h o u l i g a n g@1 2 6. c o m。
作者简介:周伟强( 1 9 8 3 - ) , 男, 硕士研究生, 从事工业过程的先进控制及应用的研究; E - m a i l : z h o u w e i q i a n g@1 2 6. c o m。
基金资助:
辽宁省高等学校杰出青年学者成长计划项目( L J Q 2 0 1 1 0 3 2) ; 辽宁省科技攻关项目( 2 0 1 1 2 1 6 0 1 1) 。

Abstract

Abstract: The traditional envelope spectrum method does not accurately extracting characteristic problems in rolling bearing fault diagnosis, so a new energy and envelope spectrum based on a combination of timewavelet energy envelope spectrum analysis was developed. The various parts of rolling collected data the two methods were analyzed and compared, and show that the proposed method was better than the traditional envelope spectrum and could accurately extract the rolling bearing fault characteristic frequency.

Key words: Fault diagnosis, Time wavelet energy envelope spectrum, Envelope spectrum, Rolling bearing, Feature extraction

摘要： 研究了传统包络谱方法在滚动轴承故障诊断中不能准确提取故障特征的问题, 提出了一种基于能量
和包络谱相结合的时间 - 小波能量包络谱分析法。用两种方法对滚动轴承各部位采集到的数据进行了分析对比, 结
果表明, 时间 - 小波能量包络谱分析法比传统包络谱方法能更好和准确地提取出滚动轴承故障的特征频率。

关键词: 故障诊断 , , 时间 - 小波能量包络谱 , , 包络谱 , , 滚动轴承 , 特征提取

Zhou Weiqiang， Hou Ligang，Su Chengli. Feature Extraction of the Rolling Bearing Based on  TimeWavelet Power Envelope Spectrum[J]. Journal of Liaoning Petrochemical University, 2014, 34(3): 75-78.

周伟强,侯立刚,苏成利. 基于时间 - 小波能量包络谱的滚动轴承特征提取[J]. 辽宁石油化工大学学报, 2014, 34(3): 75-78.

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Feature Extraction of the Rolling Bearing Based on  TimeWavelet Power Envelope Spectrum

基于时间 - 小波能量包络谱的滚动轴承特征提取

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