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Fault diagnosis and process monitoring through model-based case based reasoning

Olivier Maget, Nelly and Negny, Stéphane and Hétreux, Gilles and Le Lann, Jean-Marc Fault diagnosis and process monitoring through model-based case based reasoning. (2009) In: 19th European Symposium on Computer-Aided Process Engineering , 14-17 June 2009, Cracow, Pologne .

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Official URL: DOI:10.1016/S1570-7946(09)70058-6

Abstract

In this paper, we present a method for the fault detection and isolation based on the residual generation coupled with a case based reasoning approach. The main idea is to reconstruct the outputs of the system from the measurement using the extended Kalman filter. The estimations completed with qualitative information are included in a Case Based Reasoning system in order to discriminate the possible faults and to have a reliable diagnosis. The reference model is simulated by the dynamic hybrid simulator, PrODHyS. The use of this method is illustrated through an application in the field of chemical process

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to elsevier which publishes the Proceedings of the symposium in the Computer Aided Chemical Engineering collection available at http://www.elsevier.com/wps/find/bookseriesdescription.cws_home/BS_CCE/description
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution: Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
French research institutions > Centre National de la Recherche Scientifique - CNRS
Laboratory name:
Laboratoire de Génie Chimique - LGC (Toulouse, France) - Procédés Systèmes Industriels (PSI)
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Deposited By: Stephane NEGNY

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