Lifetime prediction and replacement optimization for a standby system considering storage failures of spare parts-Reference-Cited by-同舟云学术

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Lifetime prediction and replacement optimization for a standby system considering storage failures of spare parts

Published:2024-10 Issue: Volume:250 Page:110195
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Zheng Jianfei,Ren Jincheng,Pei Hong^ORCID,Zhang Jianxun,Zhang Zhengxin^ORCID

Publisher

Elsevier BV

Reference39 articles.

1. Intelligent manufacturing in the context of industry 4.0: a review;Zhong;Engineering,2017

2. Remaining Useful Life prediction and challenges: a literature review on the use of machine learning methods;Ferreira;J Manuf Syst,2022

3. An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability;Liu;Reliab Eng Syst Saf,2022

4. Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations;Wang;Energy,2023

5. Optimal switching policy for warm standby systems subjected to standby failure mode[J];Shen;IISE Trans,2020

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