NDLI: Maintenance policy for a non-stationary deteriorating system

Content Provider	IEEE Xplore Digital Library
Author	Deloux, E. Castanier, B. Berenguer, C.
Copyright Year	2008
Description	Author affiliation: CNRS, Univ. de Technol. de Troyes, Troyes (Berenguer, C.) \|\| IRCCyN / Ecole des Mines de Nantes, Nantes (Deloux, E.; Castanier, B.)
Abstract	This paper deals with the maintenance optimization of a system subject to a stressful environment. The behavior of system deterioration can be modified by the environment. Reciprocally, the environment condition can be influenced by the system state and so, a change in the environment can be an indicator of the system state. We propose a condition-based maintenance decision framework to tackle the potential variations in the system deterioration, and especially in the deterioration rate, and the new information on the system state given by the evolution of the environmental variable. In this work, a degradation model is first developed to integrate the reciprocal influence on the system behaviour and the environment. A specific maintenance policy is constructed which combines a classical condition-based maintenance policy for the system state with a condition monitoring method to track the environmental changes. A long-run maintenance cost criteria is developed and numerical experiments are provided to highlight the benefits of our approach. The main conclusion of this study is the necessity to take into account the environment influence on the system state and we provide here an adequate maintenance framework for the decision-maker.
Starting Page	496
Ending Page	501
File Size	291340
Page Count	6
File Format	PDF
ISBN	9781424414604
ISSN	0149144X
DOI	10.1109/RAMS.2008.4925846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stress Degradation Costs Inspection Stochastic systems Condition monitoring Shape control Aging Probability distribution Predictive maintenance non stationary degradation predictive maintenance stochastic model
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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