Forecasting the remaining useful life of proton exchange membrane fuel cells by utilizing nonlinear autoregressive exogenous networks enhanced by genetic algorithms-Reference-Cited by-同舟云学术

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Forecasting the remaining useful life of proton exchange membrane fuel cells by utilizing nonlinear autoregressive exogenous networks enhanced by genetic algorithms

Published:2023-10 Issue: Volume:24 Page:100132
ISSN:2666-2485
Container-title:Journal of Power Sources Advances
language:en
Short-container-title:Journal of Power Sources Advances

Author:

Shen Yitong,Alzayed Mohamad^ORCID,Chaoui Hicham^ORCID

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrochemistry,Energy Engineering and Power Technology

Reference25 articles.

1. Proton Exchange Membrane Fuel Cells;Qi,2013

2. Remaining useful life estimation for proton exchange membrane fuel cell based on extreme learning machine;Xue,2016

3. PEM fuel cell prognostics using particle filter with model parameter adaptation;Kimotho,2014

4. An online-applicable model for predicting health degradation of PEM fuel cells with root cause analysis;Kim;IEEE Trans. Ind. Electron.,2016

5. Challenges of the remaining useful life prediction for proton exchange membrane fuel cells;Hua,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear simulating of the Proton Exchange Membrane Fuel Cells utilizing Ridgelet Neural Network optimized using a hybrid form of Northern Goshawk Optimizer;Applied Energy;2024-04

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