Abstract
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 language | English |
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Title of host publication | Electrical Contacts - 2014, Proceedings of the 60th IEEE Holm Conference on Electrical Contacts, Holm 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Edition | February |
ISBN (Electronic) | 9781479960682 |
DOIs | |
State | Published - 3 Feb 2015 |
Externally published | Yes |
Event | 60th IEEE Holm Conference on Electrical Contacts, Holm 2014 - New Orleans, United States Duration: 12 Oct 2014 → 15 Oct 2014 |
Publication series
Name | Electrical Contacts, Proceedings of the Annual Holm Conference on Electrical Contacts |
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Number | February |
Volume | 2015-February |
ISSN (Print) | 0361-4395 |
Conference
Conference | 60th IEEE Holm Conference on Electrical Contacts, Holm 2014 |
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Country/Territory | United States |
City | New Orleans |
Period | 12/10/14 → 15/10/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- detection
- series arc fault
- time analysis