Maintenance Process Modelling for Systems Subjected to Multiple Failure Mechanisms and Maintenance Actions

Repairable systems subjected to multiple dependent failure mechanisms are considered. The first objective of the paper is to propose a global framework for the modelling of their maintenance process. A system can be subjected to planned preventive, condition-based and corrective maintenance operations. Maintenance actions restoring the system from better-than-new to worse-than-minimal are considered. The stochastic modelling takes into account any kind of dependency between failure mechanisms. The second objective is to present new modellings of failure mechanisms and maintenance efficiencies while presenting a review of the most well-known assumptions in maintenance analysis. The remaining useful life of the system can be computed. In a statistical approach, the likelihood function can be derived. A comprehensive method to build an entirely specified parametric model is discussed, considering either one kind or multiple kinds of maintenance actions. An application to real data is finally presented.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icsrs63046.2024.10927500
Primary Topic
Reliability and Maintenance Optimization
Type
article
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article

Maintenance Process Modelling for Systems Subjected to Multiple Failure Mechanisms and Maintenance Actions

Olivier Gaudoin, Isha Dewan, Yann Dijoux
Reliability and Maintenance Optimization
article

Maintenance Process Modelling for Systems Subjected to Multiple Failure Mechanisms and Maintenance Actions

Olivier Gaudoin, Isha Dewan, Yann Dijoux
article en

Abstract

Repairable systems subjected to multiple dependent failure mechanisms are considered. The first objective of the paper is to propose a global framework for the modelling of their maintenance process. A system can be subjected to planned preventive, condition-based and corrective maintenance operations. Maintenance actions restoring the system from better-than-new to worse-than-minimal are considered. The stochastic modelling takes into account any kind of dependency between failure mechanisms. The second objective is to present new modellings of failure mechanisms and maintenance efficiencies while presenting a review of the most well-known assumptions in maintenance analysis. The remaining useful life of the system can be computed. In a statistical approach, the likelihood function can be derived. A comprehensive method to build an entirely specified parametric model is discussed, considering either one kind or multiple kinds of maintenance actions. An application to real data is finally presented.

Institut polytechnique de Grenoble (FR), Université de Technologie de Troyes (FR), Laboratoire Jean Kuntzmann (FR), Indian Statistical Institute (IN), Université Grenoble Alpes (FR)
Openalex Percentile: Top 72%
Reliability and Maintenance Optimization
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