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  Analysis and diagnosis of PEM fuel cell failure modes (flooding & drying) across the physical parameters of electrochemical impedance model: Using neural networks method
 
 
Title: Analysis and diagnosis of PEM fuel cell failure modes (flooding & drying) across the physical parameters of electrochemical impedance model: Using neural networks method
Author: Laribi, Slimane
Mammar, Khaled
Sahli, Youcef
Koussa, Khaled
Appeared in: Sustainable energy technologies and assessments
Paging: Volume 34 (2019) nr. C pages 35-42
Year: 2019
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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