Diagnosis of CO Pollution in HTPEM Fuel Cell using Statistical Change Detection

Christian Jeppesen, Mogens Blanke, Fan Zhou, Søren Juhl Andreasen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)
308 Downloads (Pure)

Abstrakt

The fuel cell technologies are advancing and maturing for commercial markets. However proper diagnostic tools needs to be developed in order to insure reliability and durability of fuel cell systems. This paper presents a design of a data driven method to detect CO content in the anode gas of a high temperature fuel cell. In this work the fuel cell characterization is based on an experimental equivalent electrical circuit, where model parameters are mapped as a function of the load current. The designed general likelihood ratio test detection scheme detects whether a equivalent electrical circuit parameter differ from the non-faulty operation. It is proven that the general likelihood ratio test detection scheme, with a very low probability of false alarm, can detect CO content in the anode gas of the fuel cell.
OriginalsprogEngelsk
Titel9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2015
RedaktørerSukumar Mishra
Antal sider7
Vol/bind48
Publikationsdatosep. 2015
Udgave21
Sider547-553
DOI
StatusUdgivet - sep. 2015
Begivenhed9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Paris, Frankrig
Varighed: 2 sep. 20154 sep. 2015
Konferencens nummer: 9

Konference

Konference9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Nummer9
LandFrankrig
ByParis
Periode02/09/201504/09/2015
NavnIFAC-PapersOnLine
ISSN1474-6670

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  • Citationsformater

    Jeppesen, C., Blanke, M., Zhou, F., & Andreasen, S. J. (2015). Diagnosis of CO Pollution in HTPEM Fuel Cell using Statistical Change Detection. I S. Mishra (red.), 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2015 (21 udg., Bind 48, s. 547-553). IFAC-PapersOnLine https://doi.org/10.1016/j.ifacol.2015.09.583