On the multi-modal sensing of electrical arcs

Costin Vasile (1) , Cornel Ioana (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

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.

Mots clés: electrical arc fault; acoustic; electromagnetic; time of arrival; transient detection

Domaines: Traitement du signal et de l'image [eess.SP]

Costin Vasile, Cornel Ioana. On the multi-modal sensing of electrical arcs. SAS 2017 - Sensors Applications Symposium, Mar 2017, Glassboro, United States. pp.1 - 5, ⟨10.1109/SAS.2017.7894117⟩. ⟨hal-01592664⟩