RESEARCH ON FAULT DIAGNOSIS SYSTEM OF ROTATING MACHINERY BASED ON MACHINERY CONFIGURATION

被引:1
|
作者
Chen Ping [1 ]
Xie Zhijiang [1 ]
机构
[1] Chongqing Univ, Coll Mech Engn, Chongqing 400044, Peoples R China
关键词
Rotating machinery; fault diagnosis; expert system;
D O I
10.1142/S0219686708000997
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The knowledge representation of multi-symptom fuzzy production rules based on machinery configuration model, and the establishment and maintenance mechanism of knowledge base based on relational database are studied in the paper. With the support of ADO technique, the access to knowledge base and fault reasoning are realized. Application shows that the expert system has the merits of being simple to construct and of high reasoning efficiency. And, the adaptability and universality of fault diagnosis expert system to rotate machinery are greatly increased.
引用
收藏
页码:41 / 44
页数:4
相关论文
共 50 条
  • [21] Neurofuzzy methodologies for rotating machinery fault diagnosis
    Yan, T
    Rong, CJ
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 1061 - 1063
  • [22] Fault diagnosis of rotating machinery based on multiple probabilistic classifiers
    Zhong, Jian-Hua
    Wong, Pak Kin
    Yang, Zhi-Xin
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 108 : 99 - 114
  • [23] A review of fault diagnosis methods for rotating machinery
    Shi, Zhenjin
    Li, Yueyang
    Liu, Shuai
    2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2020, : 1618 - 1623
  • [24] A method for intelligent fault diagnosis of rotating machinery
    Chen, CZ
    Mo, CT
    DIGITAL SIGNAL PROCESSING, 2004, 14 (03) : 203 - 217
  • [25] Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification
    Zhao, Haifeng
    Zhang, Xiaorui
    Jiang, Dengpan
    Gu, Jin
    SENSORS, 2023, 23 (23)
  • [26] A survey on fault diagnosis of rotating machinery based on machine learning
    Wang, Qi
    Huang, Rui
    Xiong, Jianbin
    Yang, Jianxiang
    Dong, Xiangjun
    Wu, Yipeng
    Wu, Yinbo
    Lu, Tiantian
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (10)
  • [27] A new fault diagnosis method of rotating machinery
    Chen, Chih-Hao
    Shyu, Rong-Juin
    Ma, Chih-Kao
    SHOCK AND VIBRATION, 2008, 15 (06) : 585 - 598
  • [28] A Novel Method for Fault Diagnosis of Rotating Machinery
    Tang, Meng
    Liao, Yaxuan
    Luo, Fan
    Li, Xiangshun
    ENTROPY, 2022, 24 (05)
  • [29] Fault diagnosis method of rotating machinery based on SILPDA
    Dong X.
    Zhao R.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (02): : 16 - 22
  • [30] Research on B/S Mode-Based Rotating Machinery Remote Status Monitoring and Fault Diagnosis System
    Wang, LiGuo
    VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT I, PTS 1-3, 2012, 105-107 : 747 - 750