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2020 | OriginalPaper | Buchkapitel

IIoT-Based Prognostic Health Management Using a Markov Decision Process Approach

verfasst von : Khadija Berhili, Mohammed-Amine Koulali, Yahya Berrehili

Erschienen in: Ubiquitous Networking

Verlag: Springer International Publishing

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Abstract

Recent advances in Industrial Internet of Things (IIoT) made them a key component of the Industry 4.0. Thus, several aspects of the latter, such as scheduling maintenance operations, could benefit from the existing IIoT infrastructure. We consider an IIoT-based Prognostic Health Management network for industrial facilities. Our objective is to characterize the optimal maintenance policy that favors grouping maintenance operations while reducing the deterioration and failure costs. We rely on Markov Decision Process with full information Theory to develop a realistic model for the IIoT-based PHM system in an industrial facility with multiple components prone to failure. We investigate the structural properties of optimal policies and provide numerical investigations.

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Titel: IIoT-Based Prognostic Health Management Using a Markov Decision Process Approach
verfasst von: Khadija Berhili
Mohammed-Amine Koulali
Yahya Berrehili
Verlag: Springer International Publishing
Buch: Ubiquitous Networking
Print ISBN: 978-3-030-58007-0

Electronic ISBN: 978-3-030-58008-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-58008-7_12

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