par Habbi, Hacene;Kidouche, Madjid;Kinnaert, Michel 
;Zelmat, Mimoun
Référence International Journal of Systems Science, 42, 4, page (587-599)
Publication Publié, 2011
;Zelmat, MimounRéférence International Journal of Systems Science, 42, 4, page (587-599)
Publication Publié, 2011
Article révisé par les pairs
| 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. © 2011 Taylor & Francis. |
