Semi-parametric estimation of imperfect preventive maintenance effects and intrinsic wear-out - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Semi-parametric estimation of imperfect preventive maintenance effects and intrinsic wear-out

Laurent Doyen

Résumé

A major issue for industrial systems is the joint management of ageing and maintenance. An efficient maintenance and a controlled ageing allow the extension of the operating life on equipment. A system subject to corrective maintenance (CM) and preventive maintenance (PM) actions is considered. CM is carried out after failure. It is done at unpredictable random times. Its aim is to quickly restore the system in working order. Then, CM effects are assumed to be As Bad As Old (ABAO, i.e. leave the system in the state as it was before maintenance). PM are carried out when the system is operating and intend to slow down the wear process and reduce the frequency of occurrence of system failures. They are supposed to be done at predetermined times. Their effects are assumed to follow a Brown-Proschan (BP) model: each PM is As Good As New (AGAN, i.e. renews the system) with probability p and ABAO with probability (1-p). In this context a semi-parametric estimation method is proposed: non-parametric estimation of the first time to failure distribution and parametric estimation of the PM effect, p. The originality is to consider that BP effects (ABAO or AGAN) are unknown.
Fichier non déposé

Dates et versions

hal-00925564 , version 1 (08-01-2014)

Identifiants

  • HAL Id : hal-00925564 , version 1

Citer

Laurent Doyen. Semi-parametric estimation of imperfect preventive maintenance effects and intrinsic wear-out. ERCIM 2013 - 6th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2013, Londres, United Kingdom. ⟨hal-00925564⟩
113 Consultations
0 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More