Gear fault diagnosis method of intelligence based on genetic algorithm to optimize the BP neural network

被引：0
作者：
Fang, Jie [1 ]
机构：
[1] Fujian Normal Univ, Fuqing Branch, Dept Maths & Comp Sci, Fuqing, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012) | 2012年
关键词：
Artificial Neural; BP neural network; Gear fault intelligent diagnosis; Vibration Signal;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The work of the gear transmission is very complex, and its failure in the form and features tend to show non-linear mapping. Fault signal is often submerged in conventional vibration signal and noise, it is not easy using traditional signal processing methods to extract fault features which in a difficult to gear fault diagnosis. This paper based on the genetic algorithm to optimize the structure of the BP neural network model for the intelligent diagnosis system which is used in gear fault diagnosis. The experimental results show that this method can be effectively used for the diagnosis and identification of the gears common fault type.
引用
收藏
页码：815 / 818
页数：4
相关论文
共 50 条
  • [41] Fault Diagnosis of Marine Main Engine Based on BP Neural Network
    Jiang, Huiqing
    Jia, Suling
    Lai, Guanjun
    PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT, 2009, : 822 - +
  • [42] Fault Diagnosis of Converter Based on Wavelet Decomposition and BP Neural Network
    Geng, Zhiqiang
    Ding, Ning
    Han, Yongming
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 1273 - 1276
  • [43] Fault Diagnosis of Analog Circuit Based on PSO and BP Neural Network
    JI Mengran
    CHEN Gang
    YANG Qing
    ZHANG Jinge
    沈阳理工大学学报, 2014, 33 (05) : 90 - 94
  • [44] Research on Fault Diagnosis and Optimization of Crusher Based on Atom Search Algorithm-BP Neural Network
    Ma, Liancheng
    Zhang, Yong
    Sun, Pu
    Cao, Fang
    Liu, Yuhang
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 671 - 676
  • [45] A Method of Image Classification with Optimized BP Neural Network by Genetic Algorithm
    Shen Qian
    Liu Chan-juan
    Zou Hai-lin
    Zhou Shu-sen
    Chen Tong-tong
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS IEEE INCOS 2015, 2015, : 123 - 129
  • [46] Cell Status Diagnosis for the Aluminum Production on BP Neural Network with Genetic Algorithm
    Zeng, Shuiping
    Li, Jinhong
    Cui, Lin
    ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT I, 2011, 175 : 146 - 152
  • [47] Improved BP Neural Network Algorithm Model Based on Chaos Genetic Algorithm
    Qi Changxing
    Bi Yiming
    Li Yong
    CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2017, : 679 - 682
  • [48] Circuit Breaker Fault Analysis Based on Wavelet Packet Time - Frequency Entropy and LM Algorithm to Optimize BP Neural Network
    Guo, Zijian
    Liu, Mingliang
    Li, Bing
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 5729 - 5734
  • [49] Fault detection method for ship equipment based on BP neural network
    Wu Guoqiang
    2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018), 2018, : 556 - 559
  • [50] Ship Mooring Optimization Based on Genetic Algorithm and BP Neural Network
    Xu, Xiaoying
    Wang, Kuan
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL SYMPOSIUM ON ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (ISAEECE 2017), 2017, 124 : 205 - 210
12345