Gear Fault Diagnosis Based on Wavelet-Support Vector Machines

Jie Zhao; Chun Hua Li

doi:10.4028/www.scientific.net/AMM.33.450

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 33Gear Fault Diagnosis Based on Wavelet-Support...

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.

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Periodical:

Applied Mechanics and Materials (Volume 33)

Pages:

450-453

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.33.450

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Online since:

October 2010

Authors:

Jie Zhao, Chun Hua Li

Keywords:

BP Neural Network (BPNN), Fault Diagnosis, Support Vector Machine (SVM), Wavelet

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