Ensemble model for the degradation prediction of proton exchange membrane fuel cell stacks-Reference-Cited by-同舟云学术

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Ensemble model for the degradation prediction of proton exchange membrane fuel cell stacks

Published:2020-07-22 Issue:1 Volume:37 Page:34-46
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Wang Fu‐Kwun¹^ORCID,Huang Chang‐Yi¹,Mamo Tadele²,Cheng Xiao‐Bin³

Affiliation:

1. Department of Industrial Management National Taiwan University of Science and Technology Taipei Taiwan

2. Department of Mechanical Engineering Mettu University Mettu Ethiopia

3. Intelligence Center Shanghai Electric Wind Power Group Shanghai China

Funder

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2718

Reference47 articles.

1. Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation

2. Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell

3. Online remaining useful lifetime prediction of proton exchange membrane fuel cells using a novel robust methodology

4. Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method

5. Degradation prediction of proton exchange membrane fuel cell based on grey neural network model and particle swarm optimization

Cited by 10 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. A predictive framework for PEMFC dynamic load performance degradation based on feature parameter analysis;International Journal of Hydrogen Energy;2024-06

2. Remaining useful life prediction of proton exchange membrane fuel cell based on Wiener process and Bayesian GRU network considering multi-source uncertainties;International Journal of Green Energy;2024-01-21

3. PEMFC Semi-mechanical Degradation Model Based on Polarisation Curve Testing;2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI);2023-10-27

4. Accurate long-term prognostics of proton exchange membrane fuel cells using recurrent and convolutional neural networks;International Journal of Hydrogen Energy;2023-09

5. A Hybrid Method for Performance Degradation Probability Prediction of Proton Exchange Membrane Fuel Cell;Membranes;2023-04-12

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