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.
|Number of pages||6|
|Journal||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Publication status||Published - 2003|
|Event||5th IFAC International Symposium on Intelligent Components and Instruments for Control Applications, SICICA 2003 - Aveiro, Portugal|
Duration: 2003 Jul 9 → 2003 Jul 11
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering