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

被引：0

作者：

Duan, Zhimei ^{[1
]}

Yuan, Xiaojin ^{[2
]}

Xiong, Yan ^{[1
]}

机构：

[1] Honghe Univ, Engn Coll, Mengzi 661199, Peoples R China

[2] Comprehens Test Ctr, Honghe Qual & Tech Supervis, Mengzi 661199, Peoples R China

来源：

PROCEEDINGS OF THE 2016 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND MEDICINE (EMCM 2016) | 2017年 / 59卷

关键词：

Gearbox; Adaptive gauss mutation; Particle swarm optimization algorithm; Neural network; Fault diagnosis;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：130 / 135

页数：6

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