On the multi-modal sensing of electrical arcs
Résumé
Electrical arc faults represent a danger for today's power generation systems, and their detection can have a serious positive economic impact. In this paper we present a system for the detection and localization of DC electrical arc faults (typical for a photovoltaic power generation system). Our approach is based on the multidimensionality of the arc fault emissions, therefore we use a dual sensing system, composed by electromagnetic & acoustic sensors. Also, we present a comparison between two possible signal processing methods in order to recover the TOA (" time of arrival "), which then enables us to precisely localize the source of the arc fault.
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