Solid oxide fuel cell fault diagnosis and ageing estimation based on wavelet transform approach
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Solid oxide fuel cell fault diagnosis and ageing estimation based on wavelet transform approach |
| Type de publication | Journal Article |
| Year of Publication | 2016 |
| Auteurs | Pahon E., N. Steiner Y, Jemei S., Hissel D., Pera M.C, Wang K., Mocoteguy P. |
| Journal | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY |
| Volume | 41 |
| Pagination | 13678-13687 |
| Date Published | AUG 17 |
| Type of Article | Article |
| ISSN | 0360-3199 |
| Mots-clés | Energy content, entropy, Fault diagnosis, Solid oxide fuel cell, Wavelet Transform |
| Résumé | The paper aims at developing a signal-based diagnosis tool diagnosing a high temperature fuel cell named solid oxide fuel cell (SOFC). The wavelet transform (WT) has been used to decompose the SOFCs voltage signals and to find out the effective feature variables that are discriminative for distinguishing the normal and abnormal operating conditions of the system. The diagnosis method is used to detect and isolate SOFC system fault by using the fuel cell stack as a sensor. Considering this, on-line fault detection without any additional sensor is available. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved. |
| DOI | 10.1016/j.ijhydene.2016.06.143 |