• CN:11-2187/TH
  • ISSN:0577-6686

›› 2004, Vol. 40 ›› Issue (1): 131-135.

• 论文 • 上一篇    下一篇

基于小波分析的旋转机械振动信号定量特征研究

侯敬宏;黄树红;申弢;张燕平   

  1. 华中科技大学能源与动力工程学院
  • 发布日期:2004-01-15

WAVELET-BASED QUANTITATIVE ANALYSIS OF VIBRATION SIGNAL OF ROTARY MACHINES

Hou Jinghong;Huang Shuhong;Shen Tao;Zhang Yanping   

  1. Huazhong University of Science and Technology
  • Published:2004-01-15

摘要: 通过对机械振动信号的连续小波变换,利用小波滤波器良好的时频特性,研究了振动信号经过连续小波变换后的统计特征。在信号的特征提取中, 引入“灰度矩”并把一阶矩作为定量指标。对8种典型故障信号的研究表明,这种方法能够简单有效地提取信号的特征,区分振动故障。

关键词: 故障诊断, 特征提取, 小波变换, 信号处理

Abstract: Wavelet has very good time-frequency domain features, the continuous wavelet coefficients of mechanical vibration signal is studied. From the aspect of feature extracting, this paper puts forward a new statistics and proved that this kind of one-order moment is very effective. 8 kinds of fault analysis results are given in detail. Research show that this quantitative analysis method could be used for extracting features of vibration siganl.

Key words: Fault diagnosis, Feature extracting, Signal processing, Wavelet transform

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