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Towards a generic prognostic function of technical multi-component systems taking into account the uncertainties of the predictions of their components

Lemaitre Gonzalez, Esteban and Desforges, Xavier and Archimède, Bernard Towards a generic prognostic function of technical multi-component systems taking into account the uncertainties of the predictions of their components. (2017) In: CoDIT 2017, 4th InternationaConference on Control, Decision and Information Technologies, 5 April 2017 - 7 April 2017 (Barcelona, Spain).

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Official URL: http://codit2017.com/

Abstract

This article presents the first elements of a generic function that assesses the capacity of technical multi-component systems to accomplish the assigned productive tasks from production planning. This assessment is based on the prognostics of their components. It must so be able to process inaccuracies and uncertainties of these prognostics. For its implementation the aimed function combines the Dempster-Shafer theory combined and Bayesian inferences. The paper presents the multi-component system modeling and the inferences for the different identified structures as well as a general algorithm. The final aim of the proposed generic function is to compute decision supports for cooperative maintenance and production management.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at : http://ieeexplore.ieee.org/Xplore/home.jsp
HAL Id:hal-01635621
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > Instituto Tecnológico de Costa Rica - Cartago (COSTA RICA)
Laboratory name:
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Deposited By: Xavier Desforges
Deposited On:31 May 2017 11:07

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