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Theses

Estimation d'état et diagnostic de systèmes à commutation par filtrage multi-modèle

Abstract : In this thesis, a fault detection method is developed for switching dynamic systems. These systems are represented by several linear models, each of them being associated to a particular operating mode. The proposed method is based on mode probabilities with the aim of finding the system operating mode and estimating the state. The method also uses a priori knowledge information about the mode transition probabilities represented by a Markov chain. This kind of model offers an ideal framework to the application of the multiple model estimation methods. The interest to use this type of estimators lies in the fact that in addition to the state estimation, the multiple model estimators get the probability activation of each model. These probabilities can be used for fault detection purpose. However, several improvements were made to this type of estimators in order to increasing the performances of the diagnosis.
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https://tel.archives-ouvertes.fr/tel-00135049
Contributor : Abdelfettah Hocine <>
Submitted on : Tuesday, March 6, 2007 - 2:35:19 PM
Last modification on : Friday, October 23, 2020 - 8:38:03 AM
Long-term archiving on: : Friday, September 21, 2012 - 12:35:21 PM

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  • HAL Id : tel-00135049, version 1

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Abdelfettah Hocine. Estimation d'état et diagnostic de systèmes à commutation par filtrage multi-modèle. Automatique / Robotique. Institut National Polytechnique de Lorraine - INPL, 2006. Français. ⟨tel-00135049⟩

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