Model-based diagnosis for proton exchange membrane fuel cells

Mathematics and Computers in Simulation

Volumn 81, Issue 2, 2010, Pages 158-170

  Steiner, N Yousfi ^a,b   Candusso, D ^c   Hissel, D ^b   Mooteguy, P ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b UNIVERSITÉ DE FRANCHE COMTÉ   (France)

^c France   (France)

Author keywords

Diagnosis; Elman neural network; Flooding; PEM fuel cell; Water management

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BLACK-BOX MODEL; CURRENT ENERGY; DIAGNOSIS METHODS; DIAGNOSIS PROCEDURE; ELMAN NEURAL NETWORK; EXPERIMENTAL CONDITIONS; FAULT DETECTION AND LOCALIZATION; FAULT DIAGNOSIS; FLOODING; FUEL CELL PERFORMANCE; FUEL CELL STACK; FUEL CELL SYSTEM; MODEL BASED DIAGNOSIS; MODEL INPUTS; NON-INTRUSIVE; PARAMETER MONITORING; PEM FUEL CELL; PEMFC SYSTEMS; RESIDUAL ANALYSIS; TRANSPORT APPLICATIONS; TWO-STATE;

EMBEDDED SYSTEMS; FAULT DETECTION; INTERNAL COMBUSTION ENGINES; MEMBRANES; NEURAL NETWORKS; PRESSURE DROP; PROTONS;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 78249275533     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matcom.2010.02.006     Document Type: Conference Paper

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