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
  • [41] A rule-based intelligent method for fault diagnosis of rotating machinery
    Dou, Dongyang
    Yang, Jianguo
    Liu, Jiongtian
    Zhao, Yingkai
    KNOWLEDGE-BASED SYSTEMS, 2012, 36 : 1 - 8
  • [42] Design and realization of rotating machinery fault diagnosis analyzer based on CMAC
    Yi Jian-xiong
    Chen Xin-jing
    Zhang Zheng-dao
    PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE, 2007, : 597 - 600
  • [43] A rule-based classifier ensemble for fault diagnosis of rotating machinery
    Dongyang Dou
    Jian Jiang
    Yuling Wang
    Yong Zhang
    Journal of Mechanical Science and Technology, 2018, 32 : 2509 - 2515
  • [44] Fault Diagnosis of Rotating Machinery Based on the Improved Multidimensional Normalization ResNet
    He, Changbo
    Cao, Yujie
    Yang, Yang
    Liu, Yongbin
    Liu, Xianzeng
    Cao, Zheng
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [45] Holographic Spectrum in the Remote Rotating Machinery Fault Diagnosis
    Tang, WuChu
    Shi, ZhiHui
    Kang, DaLi
    MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 2836 - +
  • [46] Cyclostationary Analysis towards Fault Diagnosis of Rotating Machinery
    Tang, Shengnan
    Yuan, Shouqi
    Zhu, Yong
    PROCESSES, 2020, 8 (10) : 1 - 15
  • [47] Fault prediction and diagnosis system of large rotating machinery based on virtual instrument
    Zuo Yunbo
    Xu Xiaoli
    Gu Yuma
    Yan Chuliang
    Shi Yongchao
    Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 925 - 928
  • [48] Application of neural networks in fault diagnosis of rotating machinery
    Qing, He
    Dongmei, Du
    Proceedings of the ASME Power Conference 2007, 2007, : 279 - 282
  • [49] Artificial Immune System Used in Rotating Machinery Fault Diagnosis
    Zhao, Linhui
    Zhou, Lihua
    Dai, Yaping
    Dai, Zhongjian
    PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2015, 337 : 65 - 74
  • [50] Improved EEMD Applied to Rotating Machinery Fault Diagnosis
    Chen, Lue
    Tang, Geshi
    Zi, Yanyang
    Fan, Fei
    MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION IV, PTS 1 AND 2, 2012, 128-129 : 154 - +