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Diagnostic par techniques d'apprentissage floues: concept d'une méthode de validation et d'optimisation des partitions

Claudia Victoria Isaza Narvaez 1
1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : This work is in the field of the process diagnosis defined as the identification of process functional states. If obtaining a precise model of the process is delicate or impossible, the system knowledge can be extracted from the signals obtained during a normal or abnormal operation by including mechanisms of training. This knowledge is organized through a data space partition into clusters (representing the states of the system). Among the training techniques, those including fuzzy logic have the advantage of expressing the memberships of an individual to several classes, this makes possible to better know the real situation of the system and to envisage changes to failure states. Notwithstanding their adequate performances, their strong dependence on the initialization parameters is a difficulty for the training. This thesis proposes the improvement of these techniques, specifically our objective is the development of a method to validate and adapt automatically the partition of data space obtained by a fuzzy classification technique. This makes possible to find automatically an optimal partition in terms of clusters compactness and separation from only the membership matrix obtained by an initial classification. This method is thus an important help given to the process expert to establish the functional states in the implementation of a monitoring technique of a complex process. Its application is illustrated on academic examples and on the diagnosis of 3 chemical processes.
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Submitted on : Friday, November 23, 2007 - 10:19:55 AM
Last modification on : Tuesday, April 5, 2022 - 3:44:20 AM
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  • HAL Id : tel-00190884, version 1


Claudia Victoria Isaza Narvaez. Diagnostic par techniques d'apprentissage floues: concept d'une méthode de validation et d'optimisation des partitions. Automatique / Robotique. INSA de Toulouse, 2007. Français. ⟨tel-00190884⟩



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