Skip to Main content Skip to Navigation
Journal articles

Solid oxide fuel cell fault diagnosis and ageing estimation based on wavelet transform approach

Abstract : 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.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-02130963
Contributor : Energie Femto-St Connect in order to contact the contributor
Submitted on : Thursday, October 21, 2021 - 2:49:52 PM
Last modification on : Wednesday, November 3, 2021 - 6:00:15 AM

File

pahon2016-1.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Elodie Pahon, Nadia Steiner, Samir Jemei, Daniel Hissel, Marie-Cécile Péra, et al.. Solid oxide fuel cell fault diagnosis and ageing estimation based on wavelet transform approach. International Journal of Hydrogen Energy, Elsevier, 2016, 41 (31), pp.13678-13687. ⟨10.1016/j.ijhydene.2016.06.143⟩. ⟨hal-02130963⟩

Share

Metrics

Record views

85

Files downloads

36