Systematic development of automata generated languages for fault diagnosis in continuous chemical processes

Chuei Tin Chang, Jung Yang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A SDG-based simulation procedure is presented in this study to qualitatively predict all possible effects of one or more fault propagating in a given process system. All possible state evolution behaviors are characterized with an automaton model. By selecting a set of on-line sensors, the corresponding diagnoser can be constructed and the diagnosability of every fault origin can be determined accordingly. Furthermore, it is also possible to construct a formal diagnostic language on the basis of this diagnoser. Every string (word) in the language is then encoded into an IF-THEN rule and, consequently, a comprehensive fuzzy inference system can be synthesized for on-line diagnosis. The feasibility of this approach is demonstrated with a simple example in this paper.

Original languageEnglish
Title of host publicationInternational Symposium on Advanced Control of Chemical Processes, ADCHEM'09 - Proceedings
PublisherIFAC Secretariat
Pages303-308
Number of pages6
EditionPART 1
ISBN (Print)9783902661548
DOIs
Publication statusPublished - 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume7
ISSN (Print)1474-6670

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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