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Article Dans Une Revue Journal of KONBiN Année : 2019

Dynamic Bayesian Network for Reliability of Mechatronic System with Taking Account the Multi-Domain Interaction

Résumé

This article presents a methodology for reliability prediction during the design phase of mechatronic system considered as an interactive dynamic system. The difficulty in modeling reliability of a mechatronic system is mainly due to failures related to the interaction between the different domains called Multi-domain interaction. Therefore in this paper, after a presentation of the state of the art of mechatronic systems reliability estimation methods, we propose a original approach by representing multi domain interactions by influential factors in the dysfunctional modeled by Dynamic Bayesian Networks. A case study demonstrates the interest of the proposed approach.
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Dates et versions

hal-02182695 , version 1 (15-02-2023)

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Nabil Ben Said Amrani, Laurent Saintis, Driss Sarsri, Mihaela Barreau. Dynamic Bayesian Network for Reliability of Mechatronic System with Taking Account the Multi-Domain Interaction. Journal of KONBiN, 2019, 49 (1), pp.31-46. ⟨10.2478/jok-2019-0002⟩. ⟨hal-02182695⟩
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