On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints

This paper deals with a gradually deteriorating system operating under an uncertain environment whose state is only known on a finite rolling horizon. As such, the system is subject to constraints. Maintenance actions can only be planned at imposed times called maintenance opportunities that are ava...

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Main Authors: E. Khoury, E. Deloux, A. Grall, C. Bérenguer
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/983595
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spelling doaj-43e9b6f566f648f2a544ae4c7116fc072020-11-24T23:22:37ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/983595983595On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance ConstraintsE. Khoury0E. Deloux1A. Grall2C. Bérenguer3Institut Charles Delaunay, Université de technologie de Troyes, STMR UMR CNRS 6279, 12 rue Marie Curie, CS 42060, 10004 Troyes Cedex, FranceInstitut Charles Delaunay, Université de technologie de Troyes, STMR UMR CNRS 6279, 12 rue Marie Curie, CS 42060, 10004 Troyes Cedex, FranceInstitut Charles Delaunay, Université de technologie de Troyes, STMR UMR CNRS 6279, 12 rue Marie Curie, CS 42060, 10004 Troyes Cedex, FranceGipsa-lab, Control Systems Department, CNRS, Grenoble Institute of Technology, 11 rue des Mathématiques, BP 46, 38402 Saint Martin d’Hères Cedex, FranceThis paper deals with a gradually deteriorating system operating under an uncertain environment whose state is only known on a finite rolling horizon. As such, the system is subject to constraints. Maintenance actions can only be planned at imposed times called maintenance opportunities that are available on a limited visibility horizon. This system can, for example, be a commercial vehicle with a monitored critical component that can be maintained only in some specific workshops. Based on the considered system, we aim to use the monitoring data and the time-limited information for maintenance decision support in order to reduce its costs. We propose two predictive maintenance policies based, respectively, on cost and reliability criteria. Classical age-based and condition-based policies are considered as benchmarks. The performance assessment shows the value of the different types of information and the best way to use them in maintenance decision making.http://dx.doi.org/10.1155/2013/983595
collection DOAJ
language English
format Article
sources DOAJ
author E. Khoury
E. Deloux
A. Grall
C. Bérenguer
spellingShingle E. Khoury
E. Deloux
A. Grall
C. Bérenguer
On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints
Mathematical Problems in Engineering
author_facet E. Khoury
E. Deloux
A. Grall
C. Bérenguer
author_sort E. Khoury
title On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints
title_short On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints
title_full On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints
title_fullStr On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints
title_full_unstemmed On the Use of Time-Limited Information for Maintenance Decision Support: A Predictive Approach under Maintenance Constraints
title_sort on the use of time-limited information for maintenance decision support: a predictive approach under maintenance constraints
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description This paper deals with a gradually deteriorating system operating under an uncertain environment whose state is only known on a finite rolling horizon. As such, the system is subject to constraints. Maintenance actions can only be planned at imposed times called maintenance opportunities that are available on a limited visibility horizon. This system can, for example, be a commercial vehicle with a monitored critical component that can be maintained only in some specific workshops. Based on the considered system, we aim to use the monitoring data and the time-limited information for maintenance decision support in order to reduce its costs. We propose two predictive maintenance policies based, respectively, on cost and reliability criteria. Classical age-based and condition-based policies are considered as benchmarks. The performance assessment shows the value of the different types of information and the best way to use them in maintenance decision making.
url http://dx.doi.org/10.1155/2013/983595
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