Fuzzy Petri Nets Model for FMC Fault Diagnosis
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In view of the Fuzziness and the uncertainty of the expert knowledge of the fault diagnosis expert system,this paper presents a method of Fuzzy production rule (FPR)knowledge representation by using Fuzzy Petri nets(FPN)model,knowledge store and Fuzzy reasoning mechanism,and gives the algorithm implementation. Furthermore,taking the fault diagnosis expert system for the JCS-020 (FANUC) manufacturing center as an example,We have proved in this paper the feasibility and validity of the method.

    Reference
    Related
    Cited by
Get Citation

Qiu Jing, Peng Zhihua, Wen Xisen, Tang Bingyang. Fuzzy Petri Nets Model for FMC Fault Diagnosis[J]. Journal of National University of Defense Technology,1996,18(2):38-42.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 21,1995
  • Revised:
  • Adopted:
  • Online: June 11,2014
  • Published:
Article QR Code