Title of article :
Model-based diagnosis for proton exchange membrane fuel cells Original Research Article
Author/Authors :
fault diagnosis in fuel cell systems needs the knowledge of number of parameters، نويسنده , , which might require a special inner parameter monitoring setup. This is difficult، نويسنده , , even impossible with respect to fuel cell stacks geometry. Moreover، نويسنده , , with respect to the transportation application that aims at minimizing the embedded instrumentation، نويسنده , , simple diagnosis methods involving non-intrusive and easy-to-monitor parameters are highly desired in PEMFC systems.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
N. Yousfi Steiner, D. Candusso, D. Hissel, P. Moçoteguy
Keywords :
Flooding , Elman neural network , PEM fuel cell , Diagnosis , Water management
Journal title :
Mathematics and Computers in Simulation
Journal title :
Mathematics and Computers in Simulation
