Fault Diagnosis of Rolling Bearing on the Basis of Wavelet Neural Network

Song Lin Wu; Jian Xin Liu; Li Li

doi:10.4028/www.scientific.net/AMM.598.244

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Fault Diagnosis of Rolling Bearing on the Basis of Wavelet Neural Network
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 598Fault Diagnosis of Rolling Bearing on the Basis of...

Fault Diagnosis of Rolling Bearing on the Basis of Wavelet Neural Network

Abstract:

In this paper, the feature vector of the roller bearing signals are extracted on the basis of wavelet analysis and a fault diagnosis experiment is carried through wavelet neural network in detail. The method and the theory of fault diagnosis based on BP neural network and the radial basis function neural network are studied and the results of diagnosis based on relax-type Neural-Networks and close-type Neural-Networks are compared.

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Periodical:

Applied Mechanics and Materials (Volume 598)

Pages:

244-249

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.598.244

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Online since:

July 2014

Authors:

Song Lin Wu*, Jian Xin Liu, Li Li

Keywords:

Fault Diagnosis, Neural Network (NN), Wavelet Analysis

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* - Corresponding Author

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