• CN：11-2187/TH
  • ISSN：0577-6686
机械工程学报

›› 2001, Vol. 37 ›› Issue (2): 30-32，3.

• 论文 • 上一篇    下一篇

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滚动轴承故障特征的小波提取方法

傅勤毅;章易程;应力军;李国顺   

  1. 中南大学铁道校区
  • 发布日期:2001-02-15

EXTRACTION OF FAILURE CHARACTER SIGNAL OF ROLLING ELEMENT BEARINGS BY WAVELET

Fu Qinyi;Zhang Yicheng;Ying Lijun;Li Guoshun   

  1. Center South University
  • Published:2001-02-15

摘要： 分析了有故障的滚动轴承在运转中的振动信号特征，采用一种无频带错位的小波包算法进行滚动轴承的故障特征信号提取，清晰地刻画出轴承故障冲击的特征函数，通过试验证明了该方法的有效性，且具有很高的信噪比。

关键词: 故障, 滚动轴承, 小波包, 信号处理

Abstract: The character of vibration signal caused by failed bearing is analyzed. Based on wavelet packets algorithm without frequency band derangement, a signal character extraction method of rolling element bearing failure measurement is proposed. The character function portrays distribution condition of failure impact precisely. The practical example shows the reliability and the method has a high signal-to-noise ratio.

Key words: Failure, Rolling element bearing, Signal processing, Wavelet packets

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