Decision support with a markovian approach for maintenance context activitiesReport as inadecuate

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1 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique

Abstract : Today, maintenance strategies and their analyses remain a worrying problem for companies. Our study, presented in this paper, shows that our indicator can provide help for expert decision maintenance manager in the context of condition-based maintenance. The paper deals with the proposition of using Hidden Markov Models to track and estimate the degradation of a system, according to observations maintenance activities registered in a database. In a first time, the degradation level of process was established by a -classical- degradation laws statistical laws. In a second step, this level was established by Hidden Markov Model probabilistic laws.Tests conducted on the synthesis model, for which degradation levels were known, allowed us to implement the method.

Author: Pascal Vrignat - Manuel Avila - Florent Duculty - Bernard Robles - F. Kratz -



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