A fuzzy diagnosis method in process systems with feedback control loops

Chuei Tin Chang, Sheng Yung Chang

Research output: Contribution to journalConference articlepeer-review

Abstract

By considering the fault propagation behaviors in process systems with control loops, a fuzzy-logic based fault diagnosis strategy has been developed in the present work. The proposed fault diagnosis methods can be implemented in two stages. In the off-line preparation stage, the potential causes of a system hazard are identified by deterrnining the minimal cut sets of a fault tree. The occurrence order of observable fault symptoms is derived frorn the system digraph and then encoded into a set of IF-THEN rules. In the next on-line diagnosis stage, the occurrence indices of the top event and also the fault origins are computed in a fuzzy inference system based on real-time measurement data. Simulation studies have been carried out to demonstrate the feasibility of the proposed approach.

Original languageEnglish
Pages (from-to)267-272
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume36
Issue number12
DOIs
Publication statusPublished - 2003 Jan 1
Event5th IFAC International Symposium on Intelligent Components and Instruments for Control Applications, SICICA 2003 - Aveiro, Portugal
Duration: 2003 Jul 92003 Jul 11

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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