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

DOI

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.

Copyright

© 2017, 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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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  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SP  - 130
EP  - 135
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.26
DO  - 10.2991/emcm-16.2017.26
ID  - Duan2017/02
ER  -