Gear Fault Diagnosis Based on Wavelet-Support Vector Machines

Abstract:

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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 and 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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Price:

$35.00

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