Paper Title:
Research on Intelligent Fault Diagnosis Method Based on Rough Set Theory and Fuzzy Petri Nets
  Abstract

Rough sets theory (RST) and Fuzzy Petri nets (FPN) have been widely used in fault diagnosis. However, RST has the weakness of over-rigidity decision, and FPN has the dimensional disaster problem. In order to solve these shortcomings, according to complementary strategy, a new fault diagnosis method based on integration of RST and FPN was presented. Firstly, RST was applied to remove redundant fault features and simply fault information, so that the minimal diagnostic rules can be obtained and the fault was roughly diagnosed. Secondly, the optimal FPN structure was built and the fault diagnosis was finally realized through matrix operation of FPN. Finally, a diesel engine fault diagnosis example was analyzed, and the results show that the proposed method not only holds the ability of RST for analyzing and reducing data, but also has the advantage of FPN for parallel reasoning, so it has strong engineering practicability and validity.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
77-82
DOI
10.4028/www.scientific.net/AMM.26-28.77
Citation
L. Y. Li, Z. Z. Yang, Z. He, "Research on Intelligent Fault Diagnosis Method Based on Rough Set Theory and Fuzzy Petri Nets", Applied Mechanics and Materials, Vols. 26-28, pp. 77-82, 2010
Online since
June 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Fan Yang, Cai Li Zhang
Abstract:Considering the poor accuracy of grey relational analysis method in fault diagnosis field, a rough set based weighted grey fault diagnosis...
272
Authors: Wen Jie Wu, Da Gui Huang, Zheng Dong
Abstract:This paper describes a support vector machine(SVM) approach to improve the test validity and accuracy for Aero-engine fault diagnosis. A new...
811
Authors: Su Qun Cao, Xiao Ming Zuo, Ai Xiang Tao, Jun Min Wang, Xiang Zhi Chen
Chapter 3: Manufacturing Engineering
Abstract:In recent years, machine learning techniques have been widely used in intelligent fault diagnosis field. As a major unsupervised learning...
1628
Authors: Xue Zhong Yin, Jie Gui Wang
Chapter 2: Reliability of Instrument and Fault Diagnosis
Abstract:In order to improve the efficiency and reliability of fault diagnosis for the special electronic equipment, an intelligent fault diagnostic...
401
Authors: Peng Jun Zhang, Yu Cheng Bo, Hui Yuan Wang, Qiang Li
Chapter 5: Reliability, Fault Diagnostics and Quality Monitoring
Abstract:the paper mainly solves the questions of real time fault detection and diagnosis for fire control system. Function structure and fault...
828