Application of RBF Neural Network in Fault Diagnosis of FOG SINS

被引：0
|
作者：
Wu Lei [1 ]
Sun Rong-Ping [1 ]
Cheng Jian-Hua [1 ]
机构：
[1] Harbin Engn Univ, Automat Coll, Harbin, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-4 | 2008年
关键词：
RBF neural network; FOG SINS; fault diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Taking FOG SINS (fiber-optic gyroscope strapdown inertial system) as an object, a new fault diagnostic scheme based on RBF(radial basis function) neural network is proposed. Being capable of training and simulating data off-line, neural networks provide a solution to overcome some drawbacks of the quantitative fault diagnosis. The fault tree of FOG SINS is analyzed, which is the basis of the study of neural network fault diagnosis technology. The structure and inferential mechanism of RBF network used for elementary fault diagnosis are discussed in detail. Training simulation results of the neural network are given and an improved effect with real data is obtained, which show the feasibility of the proposed scheme.
引用
收藏
页码：912 / 915
页数：4
相关论文
共 50 条
  • [1] Application of BP Neural Network in Fault Diagnosis of FOG SINS
    Wu, Lei
    Sun, Feng
    Chen, Shitong
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 9322 - 9326
  • [2] Fault Diagnosis of FOG SINS Based on Neural Network
    Wu Lei
    Sun Feng
    Cheng Jianhua
    [J]. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 262 - 265
  • [3] Application of RBF Neural Network in Fault Diagnosis for Transmission Gear
    Liu Xi-mei
    Yao Xiao-hui
    Zhao Qian
    Guo Hong-mi
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 7563 - 7568
  • [4] Application of RBF Neural Network in Intelligent Fault Diagnosis System
    Wang, Yingying
    Chang, Ming
    Chen, Hongwei
    Wang, Ming Qian
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND ENGINEERING APPLICATION, ICSCTEA 2013, 2014, 250 : 561 - 566
  • [5] Research on Application of RBF Neural Network in Equipment Fault Diagnosis
    Li Yan
    Zheng Silong
    Ma Leilei
    [J]. ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 1651 - 1654
  • [6] Application of RBF neural network in fault diagnosis in chemical industry
    Tan Caijun
    Huang Dao
    [J]. Proceedings of the 24th Chinese Control Conference, Vols 1 and 2, 2005, : 1183 - 1186
  • [7] Unascertained RBF Neural Network and Its Application in Fault Diagnosis
    Pang, Yanjun
    Pan, Wei
    [J]. 2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2, 2009, : 678 - 682
  • [8] Research on a novel RBF neural network and its application in fault diagnosis
    Tao, X
    Qi, W
    [J]. ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 4, 2005, : 571 - 575
  • [9] Application of WCA-RBF Neural Network in Fault Diagnosis of Analog Circuits
    Jin, Zhiwei
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2023, 2023
  • [10] Application of RBF neural network based on AP clustering in Engine Fault Diagnosis
    Wu Shi-li
    Tang Zhen-min
    Liu Yong
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 472 - 475
12345