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Analysis of Series Arc-Fault Signals Using Wavelet Transform From Non-linear Loads  

Bang, Sun-Bae (전기안전연구원)
Park, Chong-Yeun (강원대학교 전기.전자공학과)
Jang, Mog-Soon (강원대학교 전기.전자공학과)
Choi, Won-HO (강원대학교 전기.전자공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.8, 2008 , pp. 1470-1477 More about this Journal
Abstract
In this paper, a new detection method of series arc-fault signals occurring at the wiring of home appliances is proposed. The discrete wavelet transform was used for the numerical analysis of the variation rate in peak, RMS, noise energy, shoulder of the arc-fault current wave. As a results, the arc distinction threshold value of these variation rates was about 0.1 in most cases. The arc-fault current of the loads with the active PFC circuit showed a high rate of variation in noise energy and shoulder, but arc-fault current of the loads without the active PFC circuit showed a high rate of variation in peak and RMS. The arc fault current in resistive loads showed a high rate of variation in shoulder.
Keywords
Series arc-fault; Wavelet transform; Electrical fire; Shoulder; Home appliance;
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Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 0
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