Fault diagnosis based on Rough Set Theory

被引：96
|
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
来源：
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2003年 / 16卷 / 01期
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
  • [21] Modeling and Fault Diagnosis for Coupled-tank Based on Rough Set Theory
    Yun, Gao
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 5702 - 5707
  • [22] A new approach for fault diagnosis in power systems based on Rough Set theory
    Zhang, Q
    Han, ZX
    Wen, FS
    FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN POWER SYSTEM CONTROL, OPERATION & MANAGEMENT, VOLS 1 AND 2, 1997, : 597 - 602
  • [23] Research on fault diagnosis of FPC based on virtual instrument and rough set theory
    Li, Yun-fei
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3891 - 3895
  • [24] Intelligent fault diagnosis model based on rough set and grey system theory
    Qi, Ji-Yang
    Zhu, Chang-An
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2007, 39 (03): : 501 - 504
  • [25] A new model of mine hoist fault diagnosis based on the rough set theory
    Xia Zhanguo
    Wang Zhixiao
    Wang Ke
    Guan Hongjie
    PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, 2008, : 649 - 654
  • [26] Fault diagnosis system based on rough set theory and support vector machine
    Xu, YT
    Wang, LS
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS, 2005, 3614 : 980 - 988
  • [27] Applied Research on Fault Diagnosis of Power Transformers Based on Rough Set Theory
    Liu, Yuzhi
    AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2712 - 2715
  • [28] Transformer Fault Diagnosis based on Bayesian Network and Rough Set Reduction Theory
    Xie, Qi-jia
    Zeng, Hui-xiong
    Ruan, Ling
    Chen, Xiao-ming
    Zhang, Hai-long
    2013 IEEE TENCON SPRING CONFERENCE, 2013, : 262 - 266
  • [29] Intelligent fault diagnosis of CNC machine tools based on rough set theory
    Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
    Zhejiang Daxue Xuebao (Gongxue Ban), 2008, 10 (1719-1724):
  • [30] Transformer insulation fault diagnosis method based on rough set and fuzzy set and evidence theory
    Su, Hongsheng
    Li, Qunzhan
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 5442 - +
12345