Optimum condition-based maintenance policy with dynamic inspections based on reinforcement learning-Reference-Cited by-同舟云学术

Optimum condition-based maintenance policy with dynamic inspections based on reinforcement learning

Published:2022-10 Issue: Volume:261 Page:112058
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Cheng Jianda^ORCID,Liu Yan^ORCID,Cheng Minghui,Li Wei,Li Tianyun

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference45 articles.

1. Managing engineering systems with large state and action spaces through deep reinforcement learning;Andriotis;Reliab. Eng. Syst. Saf.,2019

2. Palmgren–Miner’s rule and fracture mechanics-based inspection planning;Chen;Eng. Fract. Mech.,2011

3. A decision-making framework for load rating planning of aging bridges using deep reinforcement learning;Cheng;J. Comput. Civ. Eng.,2021

4. Optimal load rating-based inspection planning of corroded steel girders using Markov decision process;Cheng;Probab. Eng. Mech.,2021

5. Investigation of effects of time preference and risk perception on life-cycle management of civil infrastructure;Cheng;ASCE-ASME J. Risk Uncertain. Eng. Syst. A,2020

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