Performance analysis of solid oxide fuel cell using reformed fuel

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.

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

Pahon

Steiner

Jemeï

et al. 2016

International Journal of Hydrogen Energy

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Performance of 1.5 Nm3/h hydrogen generator by steam reforming of n-dodecane for naval applications

Fabiano

Italiano

Vita

et al. 2016

International Journal of Hydrogen Energy

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A comparative study of dry reforming of methane over nickel catalysts supported on perovskite-type LaAlO3 and commercial α-Al2O3

Figueredo

Medeiros

Macedo

et al. 2018

International Journal of Hydrogen Energy

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Performance analysis of solid oxide fuel cell using reformed fuel

Cited by 4 publications

References 22 publications

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

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

Performance of 1.5 Nm3/h hydrogen generator by steam reforming of n-dodecane for naval applications

A comparative study of dry reforming of methane over nickel catalysts supported on perovskite-type LaAlO3 and commercial α-Al2O3

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