Degradation modeling and remaining useful life prediction for dependent competing failure processes-Reference-Cited by-同舟云学术

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Degradation modeling and remaining useful life prediction for dependent competing failure processes

Published:2021-08 Issue: Volume:212 Page:107638
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Yan Tao,Lei Yaguo,Li Naipeng,Wang Biao,Wang Wenting

Funder

National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference34 articles.

1. Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model;Li;Reliability Engineering & System Safety,2019

2. Recurrent convolutional neural network: a new framework for remaining useful life prediction of machinery;Wang;Neurocomputing,2020

3. Reliability modeling for mutually dependent competing failure processes due to degradation and random shocks;Hao;Appl Math Model,2017

4. Reliability modeling for dependent competing failure processes with changing degradation rate;Rafiee;IIE Trans,2014

5. Reliability and maintenance modeling for systems subject to multiple dependent competing failure processes;Peng;IIE Trans,2010

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