Data-driven diagnosis of PEM fuel cell: A comparative study - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Control Engineering Practice Année : 2014

Data-driven diagnosis of PEM fuel cell: A comparative study

Résumé

This paper is dedicated to data-driven diagnosis for Polymer Electrolyte Membrane Fuel Cell (PEMFC). More precisely, it deals with water related faults (flooding and membrane drying) by using pattern classification methodologies. Firstly, a method based on physical considerations is defined to label the training data. Secondly, a feature extraction procedure is carried out to pick up the significant features from vectors constructed by individual cell voltages. Finally, a classification is adopted in the feature space to realize the fault diagnosis. Various feature extraction and classification methodologies are employed on a 20-cell PEMFC stack. The performances of these methodologies are compared.
Fichier principal
Vignette du fichier
Draft_CEP_15102013 - Copie.pdf (643.08 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01113297 , version 1 (06-02-2015)

Identifiants

  • HAL Id : hal-01113297 , version 1

Citer

Zhongliang Li, Rachid Outbib, Daniel Hissel, Stefan Giurgea. Data-driven diagnosis of PEM fuel cell: A comparative study. Control Engineering Practice, 2014, 28, pp.1-12. ⟨hal-01113297⟩
438 Consultations
766 Téléchargements

Partager

Gmail Facebook X LinkedIn More