NDLI: On application of an imperfect repair model in maintenance scheduling

Content Provider	IEEE Xplore Digital Library
Author	Tuan Nguyen Dijoux, Y. Fouladirad, M.
Copyright Year	2015
Description	Author affiliation: ICD, Troyes Univ. of Technol., Troyes, France (Tuan Nguyen; Dijoux, Y.; Fouladirad, M.)
Abstract	The paper studies the failure dataset from a fleet of six load-haul-dump machines in a Swedish mine. The data consists of time between successive failures of each machine during a period of two years. Our paper aims to estimate the reliability characteristics of these machines along with the repair efficiency. The effect of early missing data before the beginning of the observation is also mentioned. To describe the failure and maintenance process of such dataset, imperfect repair models seem more appropriate. Two classical models (As Bad As Old and As Good As New), though simple to deal with, are not flexible enough to characterize repair efficiency. In this paper, we use the Arithmetic Reduction of Age with infinite memory $(ARA_{∞})$ imperfect repair model. The model allows us to quantify the effect of repair on each machine and to take into account the effect of the early missing data. Estimation results of each machine and of combined groups of machines are given by the maximum likelihood method. Finally, a maintenance policy based on the age-based preventive maintenance policy is proposed for these machines under the $ARA_{∞}$ assumption.
Starting Page	1
Ending Page	5
File Size	220292
Page Count	5
File Format	PDF
e-ISBN	9781479967032
DOI	10.1109/RAMS.2015.7105096
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Preventive maintenance Reliability Data models Maximum likelihood estimation Optimal maintenance policy Repairable system Imperfect repair
Content Type	Text
Resource Type	Article

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