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http://dx.doi.org/10.4313/TEEM.2017.18.4.221

Extraction of Series Arc Signals Based on Wavelet Transform in an Indoor Wiring System  

Ji, Hong-Keun (National Forensic Service Busan Institute, Forensic Safety Section)
Cho, Young-Jin (National Forensic Service Busan Institute, Forensic Safety Section)
Wang, Guoming (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University)
Hwang, Seong-Cheol (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University)
Kil, Gyung-Suk (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University)
Publication Information
Transactions on Electrical and Electronic Materials / v.18, no.4, 2017 , pp. 221-224 More about this Journal
Abstract
This paper dealt with the extraction of series arc signals based on wavelet transform in order to improve the accuracy of arc detection in indoor wiring systems. Three types of arc sources including a cord-cord, a terminal-cord, and an outlet-plug were fabricated to simulate typical arc defects. An arc generator fabricated according to UL 1699 was used to generate arcs. The optimal mother wavelet was selected as bior1.5 by calculating the correlation coefficients between the detected single current pulse and the wavelet. The detected arc current signals were then decomposed into eight levels using the discrete wavelet transform that implements the multi-resolution analysis method. By analyzing the decomposed components, the detail components D6, D7, and D8 were associated with arc signals, which were used for signal reconstruction. From the result, it was verified that the proposed method can be used for the extraction of the series arc signal from the AC mains, which is expected to be applied to further analysis of arc signals in indoor wiring systems.
Keywords
Series arc; Indoor wiring system; Wavelet transform; Multi-resolution analysis; Decomposition;
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Times Cited By KSCI : 1  (Citation Analysis)
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