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Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters

Abstract

A system subject to degradation is considered. The degradation is modelled by a gamma process. A condition based maintenance policy with perfect corrective and an imperfect preventive actions is proposed. The maintenance cost is derived considering a Markov-renewal process. The statistical inference of the degradation and maintenance parameters by the maximum likelihood method is proposed. A sensibility analysis to different parameters is carried out and the perspectives are detailed.
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Dates and versions

hal-03844770 , version 1 (09-11-2022)

Identifiers

  • HAL Id : hal-03844770 , version 1

Cite

Franck Corset, Christian Paroissin, Mitra Fouladirad. Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters. ENBIS Spring Meeting 2022, May 2022, Grenoble, France. ⟨hal-03844770⟩
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