Fuzzy fault diagnostic system based on fault tree analysis

Zong Xiao Yang, Kazuhiko Suzuki, Yukiyasu Shimada, Hayatoshi Sayama

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

A method is presented for process fault diagnosis using information from fault tree analysis and uncertainty / imprecision of data. Fault tree analysis, which has been used as a method of system reliability / safety analysis, provides a procedure for identifying failures within a process. A fuzzy fault diagnostic system is constructed which uses the fuzzy fault tree analysis to represent a knowledge of the causal relationships in process operation and control system. The proposed method is applied successfully to a nitric acid cooler process plant.

Original languageEnglish
Pages165-170
Number of pages6
Publication statusPublished - Jan 1 1995
EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
Duration: Mar 20 1995Mar 24 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
CityYokohama, Jpn
Period3/20/953/24/95

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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