Fault diagnosis based on Rough Set Theory

被引:95
|
作者
Tay, FEH
Shen, LX
机构
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 119260, Singapore
[2] Natl Univ Singapore, Fac Engn, Design Technol Inst Ltd, Singapore 119260, Singapore
关键词
contingency management; fault diagnosis; Rough Set Theory;
D O I
10.1016/S0952-1976(03)00022-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In contingency management of a complex system, identification of error condition or faults diagnosis is a very important stage. It determines the methods and techniques to be applied in the following stages of contingency management. In this paper, Rough Set Theory as a new fault-diagnosing tool is used to identify the valve fault for a multi-cylinder diesel engine. This method overcomes the shortcoming of conventional methods where each method of fault diagnosis on diesel engine can only provide one corresponding fault category. By the analysis of the final reducts generated using Rough Set Theory, it is shown that this new method is effective for valve fault diagnosis and it is a new powerful tool that can be applied in contingency management. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:39 / 43
页数:5
相关论文
共 50 条
  • [1] Rule discovery based on rough set theory in fault diagnosis
    Li Wenzhao
    Xiao Xiaofeng
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 3, 2006, : 903 - 907
  • [2] The Fault Diagnosis of Power Transformer Based on Rough Set Theory
    Fu Ying-shuan
    Liu Fa-zhan
    Zhang Wei-zheng
    Zhang Qing
    Zhang Gui-xin
    [J]. 2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, : 297 - +
  • [3] A new model of fault diagnosis based on the rough set theory
    Xia Zhanguo
    Wang Zhixiao
    Wang Ke
    [J]. ADVANCING SCIENCE THROUGH COMPUTATION, 2008, : 366 - 369
  • [4] Rough set theory based fault diagnosis on power transformers
    Computer School, North China Electric Power University, Baoding 071003, China
    [J]. Yi Qi Yi Biao Xue Bao, 2006, SUPPL. (1722-1723):
  • [5] Condition monitoring and fault diagnosis based on rough set theory
    Li, Xiong
    Li, Shengli
    Xu, Zongchang
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2005, 26 (SUPPL.): : 781 - 783
  • [6] The research on fault diagnosis of distribution network based on rough set theory
    Xie Yun-fang
    Zhou Yu-hong
    Cai Jin-jin
    [J]. 2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL III, 2009, : 194 - 197
  • [7] Fault diagnosis method of rotating machinery based on rough set theory
    Sun, Hai-Jun
    Jiang, Dong-Xiang
    Qian, Li-Jun
    Zhan, Xiang-Sen
    [J]. Dongli Gongcheng/Power Engineering, 2004, 24 (01):
  • [8] Transformer fault diagnosis method based on graph theory and rough set
    Peng Lu
    Li Wenhui
    Huang Dongmei
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (01) : 223 - 230
  • [9] Fault Diagnosis Method for Power Transformers Based on Rough Set Theory
    Huang, Wentao
    Wang, Weijie
    Meng, Qingxin
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 468 - +
  • [10] Fault Diagnosis Model based on Rough Set Theory and Expert System
    Zuo Yougang
    [J]. 2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL II, 2009, : 498 - 500