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

Chuei Tin Chang, Jung Yang Chen

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題International Symposium on Advanced Control of Chemical Processes, ADCHEM'09 - Proceedings
發行者IFAC Secretariat
頁面303-308
頁數6
版本PART 1
ISBN(列印)9783902661548
DOIs
出版狀態Published - 2009

出版系列

名字IFAC Proceedings Volumes (IFAC-PapersOnline)
號碼PART 1
7
ISSN(列印)1474-6670

All Science Journal Classification (ASJC) codes

  • 控制與系統工程

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