Research Activities: Generating indicators of maintenance by a semiparametric approach and a Markovian approach.
Summary: Today, maintenance strategies and their analyses remain a worrying problem for companies. Socio economic stakes depending on competitiveness of each strategy are even more linked to activity and quality of maintenance interventions. A series of specific events can eventually warn the expert of an imminent breakdown. Our study aims at understanding this “signature” thanks to an hidden Markov model. On that purpose, two strategies on damage level estimation of maintained system are proposed to expert. The first one consists in using of non parametric and semi parametric degradation laws. The second one consists in using of an markovian approach. All proposals are illustrated on two case studies corresponding to two real industrial situations (continuous system for food processing and moulded products in aluminum alloys in an discontinuous process).
Keywords: diagnosis, maintenance management, assessment, degradation laws, Hidden Markov Model
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