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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Fuel Cellsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Fuel Cells
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
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Electrochemical Noise as a Diagnostic Tool for PEMFC

Authors: E. S. Denisov; Y. K. Evdokimov; S. Martemianov; A. Thomas; N. Adiutantov;

Electrochemical Noise as a Diagnostic Tool for PEMFC

Abstract

AbstractA promising direction for improving proton exchange membrane fuel cells (PEMFCs) is the increase of their reliability and operating time without failure. Therefore, the problem of a reliable diagnostic tool is important. It has been theoretically deduced that a non uniform current distribution causes the increase of power spectral density of the flicker‐noise component of electrical fluctuations, which was experimentally confirmed for the case of excess humidification. Theoretical investigations allow to conclude that other reasons of current non uniformity, for example incorrect stoichiometry, can lead to similar results as well. Experimental findings show that the behavior and parameters of electrical fluctuations depend on the fuel cell operation mode and technical state of its components. This paper shows that electrical fluctuations reflect physical processes inside the fuel cell. Thus, the electrical fluctuations can be considered as a reliable diagnostics tool for PEMFC.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
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