A chance-constrained net revenue model for online dynamic predictive maintenance decision-making-Reference-Cited by-同舟云学术

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A chance-constrained net revenue model for online dynamic predictive maintenance decision-making

Published:2024-09 Issue: Volume:249 Page:110233
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Shi Guannan^ORCID,Zhang Xiaohong^ORCID,Zeng Jianchao,Liao Haitao^ORCID,Shi Hui,Niu Huifang^ORCID,Wang Jinhe

Funder

National Natural Science Foundation of China

Shanxi Province Natural Science Foundation

Science and Technology Innovation Team of Shanxi Province

Publisher

Elsevier BV

Reference43 articles.

1. A reinforcement learning framework for optimal operation and maintenance of power grids;Rocchetta;Appl Energy,2019

2. Evaluating maintenance policies by quantitative modeling and analysis;Zio;Reliab Eng Syst Saf,2013

3. Optimal opportunity-based age replacement policies in discrete time;Wu;Reliab Eng Syst Saf,2024

4. Optimal age replacement policies of mission-oriented systems with discounting;Zhang;Comput Ind Eng,2023

5. A revisit of age-based replacement models with exponential failure distributions;Zhao;IEEE Transactions on Reliability,2021

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