Fault Diagnosis of Gearbox based on the Optimized BP Neural Networks by Improved Particle Swarm Algorithm
Zhimei Duan, Xiaojin Yuan, Yan Xiong
Available Online February 2017.
- https://doi.org/10.2991/emcm-16.2017.26How to use a DOI?
- Gearbox; Adaptive gauss mutation; Particle swarm optimization algorithm; Neural network; Fault diagnosis
- 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.
- 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 -