A Review on Dynamic Stochastic Modeling of the Degradation Process: Case of Maintenance Based on Reliability and a Proposed Approach

Authors

  • Bechaier Zemni University of Sousse, LATIS laboratory of Advanced Technology and Intelligent Systems
  • Antoine Tahan LIPPS
  • Borhen Louhichi University of Sousse, Higher Institue of Applied Sciences and Technologie of Sousse
  • Mohamed Ali Mahjoub University of Sousse, LATIS laboratory of Advanced Technology and Intelligent Systems

DOI:

https://doi.org/10.13053/cys-24-4-3099

Keywords:

Dynamic Probabilistic Graphical Models (DPGM), Hidden Markov Model (HMM), maintenance, relia- bility, degradation, prognosis, diagnosis

Abstract

Reliability analysis is an integral part of system design and operation. The study of maintenance based on the reliability requires prior modeling of the degradation of the considered system. This is a difficult task when the system becomes complex. The first step consists in exploiting the Return EXperience (REX) databases and the experts knowledge and advice to estimate the parameters of the model of degradation of the chosen system. The model of degradation is, then, enriched taking into account maintenance operations. Once the  system and its maintenance are properly formalized, a utility function   is established in order to evaluate a given maintenance strategy according to one or more given criteria.

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Published

2020-12-02

Issue

Vol. 24 No. 4 (2020): 24(4)2020

Section

Articles

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