Arc fault detection based on temporal analysis

Jinmi Lezama, Patrick Schweitzer, Serge Weber, Etienne Tisserand, Patrice Joycux

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


This article describes arc faults detection methods based on the temporal analysis of electric lines current signatures. We first give the, specifications of the domestical loads under test. Then, we describe the methods under test: crest factor, average value, variance, adaptive filter and mathematics moments. In the second part, these methods are implemented on MATLAB-Simulink. The analysis is done on the current for each period half cycle. The ability of arc faults detection is then presented for each algorithm.

Original languageEnglish
Title of host publicationElectrical Contacts - 2014, Proceedings of the 60th IEEE Holm Conference on Electrical Contacts, Holm 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960682
StatePublished - 3 Feb 2015
Externally publishedYes
Event60th IEEE Holm Conference on Electrical Contacts, Holm 2014 - New Orleans, United States
Duration: 12 Oct 201415 Oct 2014

Publication series

NameElectrical Contacts, Proceedings of the Annual Holm Conference on Electrical Contacts
ISSN (Print)0361-4395


Conference60th IEEE Holm Conference on Electrical Contacts, Holm 2014
Country/TerritoryUnited States
CityNew Orleans

Bibliographical note

Publisher Copyright:
© 2014 IEEE.


  • detection
  • series arc fault
  • time analysis


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