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Reinforcement learning is a data-driven decision-making algorithm that has been increasingly applied to develop dynamic maintenance plans while leveraging the continuous information from condition monitoring of the system and machine states.
(PDF) Reinforcement Learning for Scheduling of Maintenance
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Jan 26, 2024 · In this paper we propose Reinforcement Learning (RL), to improve long term reward for a multistage decision based on feedback given either during or at the end ...
In this paper we propose Reinforcement Learning (RL), to improve long term reward for a multistage decision based on feedback given either during or at the end ...
Oct 3, 2023 · This paper proposes using reinforcement learning (RL) to schedule maintenance tasks, which can significantly reduce direct operating costs for airlines.
Maintenance and repair activities in the model are scheduled by a reinforcement learning agent for different proof-of-concept scenarios, which can be optimised ...
Jul 7, 2023 · This paper presents a literature review on the applications of reinforcement and deep reinforcement learning for maintenance planning and optimization problems.
Apr 14, 2023 · The deep reinforcement learning (DRL) method shows its powerful ability and provides a new idea for the maintenance planning of complex systems.
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This study considers the dynamic scheduling of maintenance activities on an assembly line. A policy is constructed to schedule a cleaning activity on the last ...
Oct 3, 2023 · This paper proposes using reinforcement learning (RL) to schedule maintenance tasks, which can significantly reduce direct operating costs for airlines.
ABSTRACT: This work is concerned with the use of the system's characteristics to predict the time to failure of machine, constantly monitored in a condition ...