Paper Title:
Gear Fault Diagnosis Based on Wavelet-Support Vector Machines
  Abstract

According to the characteristics of gear vibration noise large and fault diagnosis complex, the paper proposes the method of gear fault classification based on wavelet analysis - Support Vector Machines (SVM). This method effectively eliminates the noise interference of the gear signals. The classification model of gear diagnosis applicable to small samples is established and the result of simulation shows that the model can correctly realize gear fault.

  Info
Periodical
Edited by
Dunwen Zuo, Hun Guo, Hongli Xu, Chun Su, Chunjie Liu and Weidong Jin
Pages
450-453
DOI
10.4028/www.scientific.net/AMM.33.450
Citation
J. Zhao, C. H. Li, "Gear Fault Diagnosis Based on Wavelet-Support Vector Machines", Applied Mechanics and Materials, Vol. 33, pp. 450-453, 2010
Online since
October 2010
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