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Diagnosis of Bearing Based on Probability Neural Network

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Abstract:

It is important to monitor and diagnosis for the health of ball bearing. We use the wavelet package to decompose the vibration of running bearing. The energies in frequency domain are input into a probability neural network. The output of the neural network is employed to justify the health of bearing and detect locations of fault. The experimental shows a good result of this method.

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Periodical:

Applied Mechanics and Materials (Volume 331)

Pages:

153-156

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.331.153

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Cite this paper

Online since:

July 2013

Authors:

Yin Hui Ao, Bin Cao, Bao Sheng Wang

Keywords:

Ball Bearing, Features, Probability Neural Network, Wavelet Packet

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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References

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