Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology

Application of Bearing Diagnosis Based on Wavelet Preprocessing Neural Network

Authors
Jiang-bo Chen, Shi-xian Zeng, Yan Li
Corresponding Author
Jiang-bo Chen
Available Online May 2016.
DOI
10.2991/icaset-16.2016.30How to use a DOI?
Keywords
Wavelet preprocessing, Neural network, Parameter modification, Fault diagnosis, Convergence
Abstract

According to compactly supported characteristics of bearing local damage diagnosis based on wavelet analysis, the construction of compactly supported orthogonal function method are studied. With the wavelet multi-resolution analysis and multivariate time series analysis as the foundation, the parameters of weights, scaling and translation in the model are modified. Based on MATLAB, the non-stationary signal of fault bearing acceleration wave is numerical simulated and calculated. Through the comparison of convergence between the parameters revising before and after, it shows that the error on the amplitude and the convergence efficiency of parameter modification are better than the fixed before, which can significantly improve the accuracy of bearing fault diagnosis and signal processing capacity.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-186-5
ISSN
2352-5401
DOI
10.2991/icaset-16.2016.30How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiang-bo Chen
AU  - Shi-xian Zeng
AU  - Yan Li
PY  - 2016/05
DA  - 2016/05
TI  - Application of Bearing Diagnosis Based on Wavelet Preprocessing Neural Network
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 149
EP  - 153
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.30
DO  - 10.2991/icaset-16.2016.30
ID  - Chen2016/05
ER  -