The research of learning mechanism in fault diagnosis system of CNC based on MAS

被引：0
|
作者：
Zhang, Han [1 ]
Guo, Ruifeng [1 ]
Geng, Cong [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Comp Technol, Shenyang 110168, Peoples R China
来源：
RESEARCH IN MATERIALS AND MANUFACTURING TECHNOLOGIES, PTS 1-3 | 2014年 / 835-836卷
关键词：
CNC; MAS; fault diagnosis; artificial immune network;
D O I：
10.4028/www.scientific.net/AMR.834-836.917
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to solve problems in adaptive learning of diagnosis knowledge, the fault diagnosis system of computer numerical control (CNC) based on multi-agent system (MAS) is studied and the learning mechanism based on artificial immune network is proposed. The structural model of immune network and the corresponding artificial immune algorithm are also designed. The experiment result indicates that that proposed algorithm has faster learning speed and higher classification accuracy.
引用
收藏
页码：917 / 925
页数：9
相关论文
共 50 条
  • [31] Study on MAS-based Fault Diagnosis System for GJW111 Excavator
    Tang, Xiaoyan
    Cui, Yujuan
    Zhou, Min
    Li, Jianxin
    ADVANCED MECHANICAL DESIGN, PTS 1-3, 2012, 479-481 : 1946 - 1949
  • [32] Research on Motor Fault Diagnosis Methods Based on Machine Learning
    Wang, Zhiqiang
    Bian, Wenkui
    Li, Tianqing
    Zhang, Xintong
    He, Dakuo
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 1879 - 1884
  • [33] Research on fault diagnosis of speed sensor based on iterative learning
    Zhang, Xiang
    Wen, Xiyuan
    Cao, Hongfa
    Meng, Hongfang
    Dong, Haipeng
    Tong, Xiuwei
    Journal of Railway Science and Engineering, 2021, 18 (11) : 3006 - 3012
  • [34] Research on Fault Diagnosis of Servo Valve Based on Deep Learning
    Chai, Jiajia
    Jin, Xiabo
    2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017, : 913 - 919
  • [35] Research Advances in Fault Diagnosis and Prognostic based on Deep Learning
    Zhao, Guangquan
    Zhang, Guohui
    Ge, Qiangqiang
    Liu, Xiaoyong
    2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
  • [36] Research Review and Prospect of Fault Diagnosis Method of Satellite Power System Based on Machine Learning
    Li, Hui
    He, Jing
    Wang, Xiao-wei
    Yang, Hui
    2018 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATIONS AND MECHATRONICS ENGINEERING (CCME 2018), 2018, 332 : 543 - 549
  • [37] Research of Remote Computer-aided Fault Diagnosis of CNC Lathe
    Jia Zongpu
    Huang Lihui
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT SCIENCE AND INFORMATION SYSTEM, VOLS 1-4, 2009, : 1 - 3
  • [38] The Research of GPRS-based Remote Fault Monitoring System for CNC Machine Tools
    Wu, Ming Liang
    Wang, Xiao Bing
    Yu, Shu Rong
    MECHATRONICS AND MATERIALS PROCESSING I, PTS 1-3, 2011, 328-330 : 393 - 397
  • [39] Research on distributed cooperation solution method of complex diagnosis system based on MAS
    Xiang, Jianwei
    Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2007, 31 (04): : 738 - 741
  • [40] Fault Diagnosis of CNC Machine Tool based on Bayesian Formula
    Yu, Ying
    Chen, Ming
    Li, Ying-lei
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE III, PTS 1 AND 2, 2013, 271-272 : 1765 - +
12345