A fuzzy diagnosis method in process systems with feedback control loops

Chuei Tin Chang, Sheng Yung Chang

研究成果: Conference article同行評審

摘要

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.

原文English
頁(從 - 到)267-272
頁數6
期刊IFAC Proceedings Volumes (IFAC-PapersOnline)
36
發行號12
DOIs
出版狀態Published - 2003
事件5th IFAC International Symposium on Intelligent Components and Instruments for Control Applications, SICICA 2003 - Aveiro, Portugal
持續時間: 2003 7月 92003 7月 11

All Science Journal Classification (ASJC) codes

  • 控制與系統工程

指紋

深入研究「A fuzzy diagnosis method in process systems with feedback control loops」主題。共同形成了獨特的指紋。

引用此