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| Titre: | Fuzzy model-based fault detection and diagnosis for a pilot heat exchanger |
| Auteur(s): | Zelmat, Mimoun
Kinnaert, Michel
Habbi, Hacene |
| Mots-clés: | fault detection and isolation
fuzzy identification; heat exchangers |
| Date de publication: | 2011 |
| Editeur: | Taylor & Francis |
| Collection/Numéro: | International Journal of Systems Science/ Vol.42, N°4 (2011);pp. 587–599 |
| Résumé: | This article addresses the design and real-time implementation of a fuzzy model-based fault detection and diagnosis (FDD) system for a pilot co-current heat exchanger. The design method is based on a three-step procedure which involves the identification of data-driven fuzzy rule-based models, the design of a fuzzy residual generator and the evaluation of the residuals for fault diagnosis using statistical tests. The fuzzy FDD mechanism has been implemented and validated on the real co-current heat exchanger, and has been proven to be efficient in detecting and isolating process, sensor and actuator faults |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/373 |
| ISSN: | 1464–5319 |
| Collection(s) : | Publications Internationales
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