LAPSE:2023.27601
Published Article
LAPSE:2023.27601
Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards
April 4, 2023
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.
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Keywords
arc detection, discrete waveform transform, electrical fires prevention, series arc, shipboard, signal energy
Subject
Suggested Citation
Ji HK, Wang G, Kil GS. Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards. (2023). LAPSE:2023.27601
Author Affiliations
Journal Name
Energies
Volume
13
Issue
22
Article Number
E5973
Year
2020
Publication Date
2020-11-16
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13225973, Publication Type: Journal Article
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LAPSE:2023.27601
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doi:10.3390/en13225973
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Apr 4, 2023
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