Integrated deep stacked autoencoder–BiLSTM networks and online geometric electrochemical impedance spectroscopy data for real-time fault diagnosis and health assessment of PEMFCs

Journal:
Applied Energy
Published:
DOI:
10.1016/j.apenergy.2026.127602
Affiliations:
1
Authors:
2
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Institutions Authors Share
Hamedan University of Technology, Iran
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