Prior Knowledge-Infused Self-Supervised Learning and Explainable Ai for Fault Detection and Isolation in Pem Electrolyzers

Author:

Dash Balyogi Mohan,Ould Bouamama Belkacem,Pekpe Komi Midzodzi,Boukerdja Mahdi

Publisher

Elsevier BV

Reference30 articles.

1. Robust diagnosis of pem electrolysers using lft bond graph;S Sood;International Journal of Hydrogen Energy,2022

2. Hydrogen fuel cell diagnostics using random forest and enhanced feature selection;R.-H Lin;International Journal of Hydrogen Energy,2020

3. Enhancing reliability and lifespan of pem fuel cells through neural network-based fault detection and classification;M Dhimish;International Journal of Hydrogen Energy,2023

4. Water management fault diagnosis for proton-exchange membrane fuel cells based on deep learning methods;F Xiao;International Journal of Hydrogen Energy,2023

5. An interpretable data-driven method for degradation prediction of proton exchange membrane fuel cells based on temporal fusion transformer and covariates;L Hongwei;International Journal of Hydrogen Energy,2023

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