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    Application of Adaptive Neuro-Fuzzy Inference System Techniques to Predict Water Activity in Proton Exchange Membrane Fuel Cell 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2018:;volume( 015 ):;issue: 004:;page 41009
    Author(s): Mammar, Khaled; Laribi, Slimane
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work defines and implements a technique to predict water activity in proton exchange membrane fuel cell. This technique is based on the electrochemical impedance spectroscopy (EIS) as sensor and adaptive neuro-fuzzy ...
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    Diagnosis of Water Failures in Proton Exchange Membrane Fuel Cells via Physical Parameter Resistances of the Fractional Order Model and Fast Fourier Transform Electrochemical Impedance Spectroscopy 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 002:;page 21004
    Author(s): Arama, Fatima Zohra;Laribi, Slimane;Mammar, Khaled;Aoun, Nouar;Ghaitaoui, Touhami;Hamouda, Messaoud
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The identification of water status is the foundation for fuel cell water management, which is helpful to fuel cell reliability and longevity. In this article, a novel and reliable method for diagnosing the hydration condition ...
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