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