A long short-term memory neural network based Wiener process model for remaining useful life prediction-Reference-Cited by-同舟云学术

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A long short-term memory neural network based Wiener process model for remaining useful life prediction

Published:2022-10 Issue: Volume:226 Page:108651
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Chen Xiaowu,Liu Zhen

Funder

Sichuan Province Youth Science and Technology Innovation Team

National Safety Academic Fund

University of Maryland

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. An adaptive prediction model for the remaining life of an li-ion battery based on the fusion of the two-phase wiener process and an extreme learning machine;Chen;Electronics,2021

2. A novel lifetime estimation method for two-phase degrading systems;Zhang;IEEE Trans Reliab,2019

3. Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process;Zhang;Reliab Eng Syst Saf,2021

4. A data-driven approach with uncertainty quantification for predicting future capacities and remaining useful life of lithium-ion battery;Liu;IEEE Trans Ind Electron,2021

5. Prediction of remaining useful life for a composite electrode lithium ion battery cell using an electrochemical model to estimate the state of health;Sadabadi;J Power Sources,2021

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2. Outcrossing Rate Method for Nonstationary Non-Gaussian Performance Functions and Its Application to Time-Dependent Reliability Assessment;Journal of Engineering Mechanics;2024-10

3. Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine;Quality and Reliability Engineering International;2024-08-28

4. Accelerated degradation testing for lifetime analysis considering random effects and the influence of stress and measurement errors;Reliability Engineering & System Safety;2024-07

5. Stochastic degradation modeling and remaining useful lifetime prediction based on long short-term memory network;Measurement;2024-07

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