@inproceedings{b5481185fd7348c59a7c43b7f3382b89,
title = "DC Serial Arc Fault Detection based on Visibility Graphs",
abstract = "Unlike parallel arcs, serial arcs cannot be detected with conventional fuses for short circuit and overcurrent protection, which are currently used in vehicles. This is due to the current drop below the rated current in the case of a serial arc. This applies to both the low-voltage and the high-voltage vehicle system. Undetected serial arcs for an extended period of time can severely damage vehicle components and may even cause a fire due to the high temperatures involved. This paper presents a novel method for detecting standing serial arcs based on converting the time series of current measurements into visibility graphs. A neural network is further used to classify serial arcs based on differences in the degree distributions of the visibility graphs pre, during, and post the arc.",
keywords = "48 V vehicle power system, Arc fault detection, DC serial arc, Degree distribution, Neural network, Visibility graph",
author = "Sarmed Hussain and Dominik Waffler and Ahmed Alnaggar and Herzog, {Hans Georg}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 ; Conference date: 25-10-2021 Through 28-10-2021",
year = "2021",
doi = "10.1109/VPPC53923.2021.9699342",
language = "English",
series = "2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS",
}