Optimal predictive maintenance policy for multi-component systems
DUFOUR, François
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
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Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Language
en
Communication dans un congrès
This item was published in
ESREL 2019 - 29th European Safety and Reliability Conference, 2019-09-22, Hanovre.
English Abstract
We present an optimization problem for the maintenance of a multi-component system subject to random deteriorations or failures of its components, resulting in the evolution of the overall system's state. The system can ...Read more >
We present an optimization problem for the maintenance of a multi-component system subject to random deteriorations or failures of its components, resulting in the evolution of the overall system's state. The system can be required to perform missions with deterministic occurrences and durations. Our long term objective is to set up an optimized maintenance policy to ensure the smooth running of missions while minimizing maintenance costs. The main idea of this work is to propose a mathematical model for the evolution of the system by using the formalism of a Markov Decision Processes (MDP). Through Monte Carlo simulations, we compare the performances of several reference policies.Read less <
English Keywords
Maintenance Optimization
Multi-component system
Markov decision process
Monte Carlo simula- tions
Maintenance policy
Origin
Hal imported