Fuzzy diagnosis method for process systems with coupled loops

Chuei-Tin Chang, Jung Yang Chen

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


By considering the fault propagation behaviors in process systems with coupled feed forward and feedback loops, a fuzzy-logic based fault diagnosis strategy has been developed in the present work. The proposed methods can be implemented in two stages. In the off-line preparation stage, the root causes of a system hazard are identified by determining the minimal cut sets of the corresponding fault tree. The occurrence order of observable disturbances caused by each fault origin is derived from the system digraph. All possible patterns of the on-line symptoms and their evolution sequences can then be deduced accordingly. These sequences are used as the basis for constructing a two-layer fuzzy inference system. In the next on-line implementation stage, the occurrence indices of the the root causes are computed with the IF-THEN rules embedded in the inference engine using the real-time measurement data. Simulation studies have been carried out to demonstrate the feasibility of the proposed approach.

Original languageEnglish
Title of host publication05AIChE
Subtitle of host publication2005 AIChE Annual Meeting and Fall Showcase, Conference Proceedings
Number of pages1
Publication statusPublished - 2005
Event05AIChE: 2005 AIChE Annual Meeting and Fall Showcase - Cincinnati, OH, United States
Duration: 2005 Oct 302005 Nov 4


Other05AIChE: 2005 AIChE Annual Meeting and Fall Showcase
Country/TerritoryUnited States
CityCincinnati, OH

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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