Diagnosis of a Commercial PEM Fuel Cell Stack via Incomplete Spectra and Fuzzy Clustering

Zheng, Z.; Petrone, Raffaele; Pera, M. C.; Hissel, D.; Becherif, M.; Pianese, Cesare

doi:10.1109/IECON.2013.6699371

To realize the commercialization of proton exchange membrane (PEM) fuel cells, durability and reliability remain big challenges. This paper aims to develop a fault detection, identification and analysis methodology based on a commercial fuel cell system. Effect of air stoichiometry is studied using electrochemical impedance spectroscopy (EIS). Relevant faults are: oxygen starvation, water flooding and drying. Based on the EIS measurements, a non-model based methodology is proposed consisting of four parts: feature extraction based on the spectra, feature selection, fuzzy clustering and fault analysis. Validity of the proposed diagnostic methodology is verified experimentally.

Titolo:	Diagnosis of a Commercial PEM Fuel Cell Stack via Incomplete Spectra and Fuzzy Clustering
Autori:	Z. ZHENG PETRONE, RAFFAELE M. C. PERA D. HISSEL M. BECHERIF PIANESE, Cesare mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2013
Abstract:	To realize the commercialization of proton exchange membrane (PEM) fuel cells, durability and reliability remain big challenges. This paper aims to develop a fault detection, identification and analysis methodology based on a commercial fuel cell system. Effect of air stoichiometry is studied using electrochemical impedance spectroscopy (EIS). Relevant faults are: oxygen starvation, water flooding and drying. Based on the EIS measurements, a non-model based methodology is proposed consisting of four parts: feature extraction based on the spectra, feature selection, fuzzy clustering and fault analysis. Validity of the proposed diagnostic methodology is verified experimentally.
Handle:	http://hdl.handle.net/11386/4252454
ISBN:	9781479902248
Appare nelle tipologie:	4.1.2 Proceedings con ISBN

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