Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards

Hong-Keun Ji, Guoming Wang and Gyung-Suk Kil
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Hong-Keun Ji: Physics and Engineering Division, National Forensic Service, Busan 50612, Korea
Guoming Wang: Hangzhou Guozhou Power Technology Co., Ltd., Hangzhou 310015, China
Gyung-Suk Kil: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea

Energies, 2020, vol. 13, issue 22, 1-16

Abstract: In this paper, a series arc was simulated under resistive load and motor load, which are mainly used in small ships, and the arc signal was analyzed using discrete wavelet transform. After calculating the correlation coefficient between the single arc pulse and the wavelet, Biorthogonal (bior) 3.1 was selected as the optimal mother wavelet, and the signal was analyzed using multiresolution analysis. From the results, arc signals were distributed in the detail components D2, D3, D4 and D5, corresponding to a frequency range of 19.5–312.5 kHz, with the optimal arc signal extracted based on these values. In addition, in order to distinguish between arc and normal conditions, signal energy was analyzed. By applying the magnitude and signal energy analysis method, the DC series arc generated in the power distribution system of a shipboard was identified.

Keywords: series arc; shipboard; electrical fires prevention; discrete waveform transform; arc detection; signal energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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