Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Fault Diagnosis of Gearbox based on the Optimized BP Neural Networks by Improved Particle Swarm Algorithm

Authors
Zhimei Duan, Xiaojin Yuan, Yan Xiong
Corresponding Author
Zhimei Duan
Available Online February 2017.
DOI
https://doi.org/10.2991/emcm-16.2017.26How to use a DOI?
Keywords
Gearbox; Adaptive gauss mutation; Particle swarm optimization algorithm; Neural network; Fault diagnosis
Abstract
In order to improve accuracy of fault diagnosis of gearbox, adaptive mutation particle swarm optimization (AMPSO) algorithm is used to optimize weight of BP. According to fault feature, fault diagnosis is accomplished by optimized BP. The algorithm overcomes disadvantages that slowly convergence and easy to fall into local minima of standard PSO and BP. The simulation results show that the method gains good classification result and has a certain practicality.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Part of series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-16.2017.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhimei Duan
AU  - Xiaojin Yuan
AU  - Yan Xiong
PY  - 2017/02
DA  - 2017/02
TI  - Fault Diagnosis of Gearbox based on the Optimized BP Neural Networks by Improved Particle Swarm Algorithm
BT  - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.26
DO  - https://doi.org/10.2991/emcm-16.2017.26
ID  - Duan2017/02
ER  -