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On the issue of the PEMFC operating fault identification: Generic analysis tool based on voltage pointwise singularity strengths

Authors:	D. Benouioua D. Candusso F. Harel P. Picard X. François

Affiliation:	1. ITE EFFICACITY, 14-20 Boulevard Newton, Champs-sur-Marne, 77447 Marne La Vallée, France;2. IFSTTAR/COSYS/SATIE, UMR CNRS 8029, 25 Allée des Marronniers, 78000 Versailles Satory, France;3. FCLAB, FR CNRS 3539, Rue Ernest Thierry Mieg, 90010 Belfort Cedex, France;4. FEMTO-ST, UMR CNRS 6174, University of Bourgogne Franche-Comté, 25030 Besançon Cedex, France;5. University of Lyon, IFSTTAR/AME/LTE, 25 Avenue François Mitterrand, Case24, 69675 Bron Cedex, France;6. ENGIE – CRIGEN, 361 Avenue Du Président Wilson BP 33, 93211 La Plaine Saint-Denis, France;g. University of Technology Belfort – Montbéliard (UTBM), Rue Ernest Thierry Mieg, 90010 Belfort Cedex, France

Abstract:

Keywords:	PEMFC stacks Automotive application μCHP application Diagnostic Voltage singularity spectrum Machine learning
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