2021
DOI: 10.1016/j.ijepes.2020.106652
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Series arc fault location algorithm based on impedance parameters and fault map trace generation

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Cited by 7 publications
(3 citation statements)
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“…studied a system component for arc fault signal detection using 220nm bandwidth of photo multiplier tube [4] Joanna investigated why an AFCI does not detect electric spark in a circuit supplying a switch-mode power supply [5] . Edwin Calderon-Mendoza et al presented a location algorithm for series arc fault in a low-voltage indoor power line in an AC 230 V 50 Hz home network [6] . Giovanni Artale et al identified some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal [7] .…”
Section: Related Literaturementioning
confidence: 99%
“…studied a system component for arc fault signal detection using 220nm bandwidth of photo multiplier tube [4] Joanna investigated why an AFCI does not detect electric spark in a circuit supplying a switch-mode power supply [5] . Edwin Calderon-Mendoza et al presented a location algorithm for series arc fault in a low-voltage indoor power line in an AC 230 V 50 Hz home network [6] . Giovanni Artale et al identified some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal [7] .…”
Section: Related Literaturementioning
confidence: 99%
“…As a result, researchers today have proposed several methods for fault location in distribution systems, such as impedance‐based methods [2], neural networks [3], and traveling waves [4]. Fault impedance‐based methods investigate the fault location by comparing pre‐and post‐fault information in lines [5].…”
Section: Introductionmentioning
confidence: 99%
“…As a result, researchers today have proposed several methods for fault location in distribution systems, such as impedancebased methods [2], neural networks [3], and traveling waves [4].…”
Section: Introductionmentioning
confidence: 99%