Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties-Reference-Cited by-同舟云学术

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Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties

Published:2024-09 Issue: Volume:195 Page:110432
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Cao Xuerui,Peng Kaixiang^ORCID,Jiao Ruihua

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Natural Science Foundation of China

National Key Research and Development Program of China

Key Research and Development Program of Zhejiang Province

National Aerospace Science Foundation of China

Key Program of NSFC-Tongyong Union Foundation

Publisher

Elsevier BV

Reference37 articles.

1. Multi-phase degradation modeling and remaining useful life prediction considering aleatory and epistemic uncertainty;Cao;IEEE Sensors Journal,2023

2. An uncertain random process-based degradation model for remaining useful life prediction considering triple uncertainty;Cao;IEEE Transactions on Circuits and Systems-II: Express Briefs,2024

3. Deep learning-based approach to predict remaining useful life of rotating components;Deutsch;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018

4. Some concepts and theorems of uncertain random process;Gao;International Journal of Intelligent Systems,2015

5. Wiener degradation models with scale-mixture normal distributed measurement errors for RUL prediction;Ge;Mechanical Systems and Signal Processing,2022

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