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Acta Armamentarii ›› 2012, Vol. 33 ›› Issue (6): 718-723.doi: 10.3969/j.issn.1000-1093.2012.06.014

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Fault Pattern Recognition Based on Bispectrum Entropy Model

HUANG Jin-ying1,2, PAN Hong-xia1, BI Shi-hua2, CUI Bao-zhen1   

  1. (1.School of Mechanical Engineering and Automation, North University of China, Taiyuan 030051, Shanxi, China;2.School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China)
  • Received:2010-03-05 Revised:2010-03-05 Online:2014-03-04
  • Contact: HUANG Jin-ying E-mail:jyhuang@nuc.edu.cn

Abstract: A fault pattern recognition method was developed on the basis of information entropy and bispectrum theory. The bispectrum features of vibration signal were analyzed. And a bispectrum entropy algorithm based on energy distribution was derived under the condition of subspace distribution probability. Then, the vibration signals of a gearbox under four conditions were extracted experimentally. And a BP neural network for the fault pattern recognition was established by using the bispectrum entropy feature as input. Finally, this method was verified by successfully recognizing four fault patterns of the gearbox.

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