Fault diagnosis method of PEMFC system based on ensemble learning-Reference-Cited by-同舟云学术

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Fault diagnosis method of PEMFC system based on ensemble learning

Published:2024-06 Issue: Volume:69 Page:1501-1510
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Zhang Xuexia^ORCID,Peng Lishuo,He Fei,Huang Ruike

Publisher

Elsevier BV

Reference39 articles.

1. Effectiveness of PEMFC historical state and operating mode in PEMFC prognosis;He;Int J Hydrogen Energy,2020

2. Solid air hydrogen liquefaction, the missing link of the hydrogen economy;Hunt;Int J Hydrogen Energy,2023

3. Design concepts of hydrogen supply chain to bring consumers offshore green hydrogen;Seo;Int J Hydrogen Energy,2023

4. Effect of flight level to maximum power utilization for PEMFC/supercapacitor hybrid uav with switched reluctance motor thruster;Oksuztepe;Int J Hydrogen Energy,2023

5. Better electrochemical performance of PEMFC under a novel pneumatic clamping mechanism;Liu;Energy,2021

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. Fault diagnosis of PEMFC based on fatal and recoverable failures using multi-scale convolutional neural networks;International Journal of Hydrogen Energy;2024-08

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