Adaptive Failure Pattern Classification Method based on Neural Networks

Pan Ziwei; Xu Jinwu

doi:10.13374/j.issn1001-053x.1995.03.013

Volume 17 Issue 3

Sep. 2021

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Article Navigation > Chinese Journal of Engineering > 1995 > 17(3): 264-269

Pan Ziwei, Xu Jinwu. Adaptive Failure Pattern Classification Method based on Neural Networks[J]. Chinese Journal of Engineering, 1995, 17(3): 264-269. doi: 10.13374/j.issn1001-053x.1995.03.013

Citation:

Pan Ziwei, Xu Jinwu. Adaptive Failure Pattern Classification Method based on Neural Networks[J]. Chinese Journal of Engineering, 1995, 17(3): 264-269. doi: 10.13374/j.issn1001-053x.1995.03.013

Pan Ziwei, Xu Jinwu. Adaptive Failure Pattern Classification Method based on Neural Networks[J]. Chinese Journal of Engineering, 1995, 17(3): 264-269. doi: 10.13374/j.issn1001-053x.1995.03.013

Citation:

Pan Ziwei, Xu Jinwu. Adaptive Failure Pattern Classification Method based on Neural Networks[J]. Chinese Journal of Engineering, 1995, 17(3): 264-269. doi: 10.13374/j.issn1001-053x.1995.03.013

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Adaptive Failure Pattern Classification Method based on Neural Networks

doi: 10.13374/j.issn1001-053x.1995.03.013

Pan Ziwei,
Xu Jinwu

Institute of Mechanical Engineering, USTB, Beijing 100083, PRC

Received Date: 1994-03-25
Available Online: 2021-09-06

Abstract

Abstract

The adaptive failure pattern classificationmethod based on neural network is presented through the study of ART-2 neural networks and it is put into application on bearing diagnosis. The results indicate that this method has recognizing abilities of fast, stable and self-adaptive response for bearing fault pattern.
- failure diagnosis,
- neural networks,
- bearing,
- pattern recognition,
- ART-2 networks