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Titre: | Robust fault diagnosis of hybrid systems with Interval-Valued uncertainties using hybrid bond graph |
Auteur(s): | Lounici, Yacine Touati, Youcef Ould Bouamama, Belkacem Adjerid, Smail Chebouba, Billal Nazim |
Mots-clés: | Robust diagnosis Uncertain hybrid system Bond graph Interval-valued uncertainties Controlled junctions |
Date de publication: | 2020 |
Editeur: | IEEE |
Collection/Numéro: | 2020 International Conference on Control, Automation and Diagnosis (ICCAD);pp. 1-6 |
Résumé: | In this paper, a new robust fault diagnosis
procedure for an uncertain hybrid system based on the hybrid
bond graph model is proposed. The main objective is to enhance
the robustness in the presence of uncertainties in order to
minimize the non-detection and false alarm. The scientific interest
of the present work remains in integrating the benefits of Hybrid
bond graph and Interval analysis properties for effective diagnosis
of uncertain hybrid systems. For this task, first, the Intervalvalued Analytical redundancy relations which may undergo
discrete mode changes are derived from diagnosis hybrid bond
graph with controlled junctions. Secondly, the uncertainties are
modelled directly in the hybrid bond graph as interval models for
interval-valued thresholds generation. The limitations of the
existing methods are alleviated by the proposed method. The
effectiveness of the proposed method is demonstrated through
simulation on a controlled two-tank hybrid system |
URI/URL: | https://ieeexplore.ieee.org/abstract/document/9260505 http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6514 |
Collection(s) : | Communications Internationales
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