• CN: 11-2187/TH
  • ISSN: 0577-6686

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

• Article • Previous Articles     Next Articles

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

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

CLC Number: