A Kind of Fault Diagnosis Research Based on Improved SOM-BP Composite Neural Network

被引：0
|
作者：
Wu Kehe [1 ]
Huang Zhengguan [1 ]
Wang Zhao [1 ]
Hu Xin [1 ]
机构：
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
来源：
2014 5TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS) | 2014年
关键词：
self-organizing; composite neural network; fault diagnosis;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
As computer networks continue to grow in size and complexity, fault management in today's high speed telecommunications networks is becoming even more difficult. In this paper some existing approach for network fault diagnosis are firstly discussed. It concentrates on analyzing the alarm propagation in the Wide Area Network and a model of fault diagnosis is then proposed. Due to the complex nonlinear relation between breakdown mode and characteristic parameters of computer network, the SOM-BP composite neural network is used. The performance analysis carried out shows SOM to be a fast and efficient method for fault diagnosis in WAN.
引用
收藏
页码：465 / 467
页数：3
相关论文
共 50 条
  • [21] The application of improved BP neural network in the engine fault diagnosis
    Lu Di
    Wang Jie
    [J]. PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 3352 - 3355
  • [22] Research of Motor Fault Diagnosis Based on the Improved Genetic Algorithm and BP Network
    Huang, Qin
    Yan, Haisong
    Li, Nan
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 3131 - 3135
  • [23] Research on the Equipment Fault Diagnosis Based on GN-BP Neural Network
    Du, Jian
    Dong, Yu-cai
    Xia, Jing
    Li, Huizhen
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING (AMCCE 2017), 2017, 118 : 791 - 796
  • [24] Research on the Gearbox Fault Diagnosis Based on SCS-BP Neural Network
    Feng, Yafang
    Yang, Yu
    [J]. 2018 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT (ICITM 2018), 2018, : 33 - 36
  • [25] Fault recognition based on improved BP neural network
    Han, WL
    Zhang, YD
    [J]. COMPUTER APPLICATIONS IN THE MINERALS INDUSTRIES, 2001, : 163 - 166
  • [26] Bearing Fault Diagnosis Based on BP Neural Network
    Huo, Lin
    Zhang, Xinyue
    Li, Handong
    [J]. 2018 INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING (APEE 2018), 2018, 208
  • [27] Gear Fault Diagnosis Based on BP Neural Network
    Huang, Yongsheng
    Huang, Ruoshi
    [J]. 2017 INTERNATIONAL SYMPOSIUM ON APPLICATION OF MATERIALS SCIENCE AND ENERGY MATERIALS (SAMSE 2017), 2018, 322
  • [28] Fault diagnosis method based on BP neural network
    Mu, F
    Luan, JY
    Li, SQ
    Ye, HM
    Wang, H
    [J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1195 - 1198
  • [29] Application of Improved BP Neural Network Based on Genetic Algorithm in Fault Diagnosis of Equipment
    Ren, Xin
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS (AMEII 2016), 2016, 73 : 1076 - 1080
  • [30] Transformer Fault Diagnosis Based on an Improved Sine Cosine Algorithm and BP Neural Network
    Cheng, Jiatang
    Feng, Zhichao
    Xiong, Yan
    [J]. RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2022, 15 (06) : 502 - 510
12345