Fuzzy model-based fault detection and diagnosis for a pilot heat exchanger

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dc.contributor.authorZelmat, Mimoun
dc.contributor.authorKinnaert, Michel
dc.contributor.authorHabbi, Hacene
dc.date.accessioned2015-04-16T11:40:24Z
dc.date.available2015-04-16T11:40:24Z
dc.date.issued2011
dc.description.abstractThis 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 faultsen_US
dc.identifier.issn1464–5319
dc.identifier.urihttps://dspace.univ-boumerdes.dz/jspui/handle/123456789/373
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofseriesInternational Journal of Systems Science/ Vol.42, N°4 (2011);pp. 587–599
dc.subjectfault detection and isolationen_US
dc.subjectfuzzy identification; heat exchangersen_US
dc.titleFuzzy model-based fault detection and diagnosis for a pilot heat exchangeren_US
dc.typeArticleen_US

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