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Modelling preventive maintenance for auxiliary components

Modelling preventive maintenance for auxiliary components Purpose – The purpose of this paper is to develop a preventive maintenance (PM) model for auxiliary components whose failures may not necessarily correspond to system failure but rather to faster system degradation. Design/methodology/approach – The concept of load sharing was utilized to build a suitable Markov model for the problem. Regression analysis was used to estimate the various transition rates of the model. A real field application was used to illustrate the model. Findings – Models addressing the design of an optimal PM strategy for such a problem are rare in the literature. The load‐sharing concept was borrowed and found very useful to model this problem. Regression analysis based on real field data was also found to be useful to estimate the model transition rates. Originality/value – This paper addresses a problem that is not given enough attention in the currently available literature. Available models assume that a PM activity will restore the equipment to an as new, or at least to a better, condition. There exist situations, however, where a PM activity does not amend any damage but instead slows down further deterioration. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Quality in Maintenance Engineering Emerald Publishing

Modelling preventive maintenance for auxiliary components

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1355-2511
DOI
10.1108/13552510810877656
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to develop a preventive maintenance (PM) model for auxiliary components whose failures may not necessarily correspond to system failure but rather to faster system degradation. Design/methodology/approach – The concept of load sharing was utilized to build a suitable Markov model for the problem. Regression analysis was used to estimate the various transition rates of the model. A real field application was used to illustrate the model. Findings – Models addressing the design of an optimal PM strategy for such a problem are rare in the literature. The load‐sharing concept was borrowed and found very useful to model this problem. Regression analysis based on real field data was also found to be useful to estimate the model transition rates. Originality/value – This paper addresses a problem that is not given enough attention in the currently available literature. Available models assume that a PM activity will restore the equipment to an as new, or at least to a better, condition. There exist situations, however, where a PM activity does not amend any damage but instead slows down further deterioration.

Journal

Journal of Quality in Maintenance EngineeringEmerald Publishing

Published: May 30, 2008

Keywords: Preventive maintenance; Markov processes; Sealing processes

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