Towards a maintenance and servicing indicator, In Advances in Production Management Systems

This paper deals with a tool which may help maintenance manager to schedule maintenance activities. To help him, we show that by using events which can be observed on a process, like maintenance events, we can predict failures before they occur. Principles are based on the hypothesis that failure is preceded by a typical sequence of events. We also show that Hidden Markov Models can be used according to a good choice of parameters.

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Field Value
Source New Challenges, New Approaches, IFIP, International Federation for Information Processing
Author Vrignat, Pascal, Avila, Manuel, Duculty, Florent, Kratz, Frédéric
Maintainer CCSD
Last Updated May 14, 2026, 19:30 (UTC)
Created May 14, 2026, 19:30 (UTC)
Identifier ISBN: 978-3-642-16357-9
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique [2008-2013] (PRISME) ; Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)
creator Vrignat, Pascal
date 2010-08-31T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-12T00:00:00
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