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Energies
Volume 13
Issue 22
10.3390/en13225973
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Article

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

by
Hong-Keun Ji
1,
Guoming Wang
2 and
Gyung-Suk Kil
3,*
1
Physics and Engineering Division, National Forensic Service, Busan 50612, Korea
2
Hangzhou Guozhou Power Technology Co., Ltd., Hangzhou 310015, China
3
Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
*
Author to whom correspondence should be addressed.
Energies 2020, 13(22), 5973; https://doi.org/10.3390/en13225973
Submission received: 28 October 2020 / Revised: 10 November 2020 / Accepted: 12 November 2020 / Published: 16 November 2020
(This article belongs to the Special Issue Power Conditioning and Power Protection for Electronic Systems)
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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 series arc; shipboard; electrical fires prevention; discrete waveform transform; arc detection; signal energy

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MDPI and ACS Style

Ji, H.-K.; Wang, G.; Kil, G.-S. Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards. Energies 2020, 13, 5973. https://doi.org/10.3390/en13225973

AMA Style

Ji H-K, Wang G, Kil G-S. Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards. Energies. 2020; 13(22):5973. https://doi.org/10.3390/en13225973

Chicago/Turabian Style

Ji, Hong-Keun, Guoming Wang, and Gyung-Suk Kil. 2020. "Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards" Energies 13, no. 22: 5973. https://doi.org/10.3390/en13225973

APA Style

Ji, H.-K., Wang, G., & Kil, G.-S. (2020). Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards. Energies, 13(22), 5973. https://doi.org/10.3390/en13225973

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