Phase Analysis of Series Arc Signals for Low-Voltage Electrical Devices

Hong-Keun Ji, Sung-Wook Kim and Gyung-Suk Kil
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Hong-Keun Ji: Physics and Engineering Division, National Forensic Service, Busan 50612, Korea
Sung-Wook Kim: Division of Smart Electrical & Electronic Engineering, Silla University, Busan 46958, Korea
Gyung-Suk Kil: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea

Energies, 2020, vol. 13, issue 20, 1-14

Abstract: An arc fault is an electrical breakdown of the insulating medium in an electrical system. When arc faults occur, they cause electrical fires with local sparks and temperatures of over 5000 °C. A series arc is generated in series with a load due to an incomplete connection between cords or a loose connection between a cord and terminal. However, it is hard to detect series arc faults with arc protection devices because the fault current flowing by series arc in the circuit is not higher than the load current. Especially in Korea, preventing electrical fires by series arc is rarely applied because there is no national standard for arc fault circuit interrupters (AFCI) and arc fault detection devices (AFDD). Therefore, many studies for reliable arc detection and analysis are still necessary to prevent electrical fires. In this study, phase analyses of series arc signals for low-voltage electrical devices such as heaters, computers, refrigerators, and air conditioners were conducted. The arc generator was fabricated according to UL 6199 and an optimal filter was designed to detect series arc signals without any attenuation. The phase of detected series arc signals was analyzed according to load types and finally a new algorithm was proposed based on the result of phase-resolved series arc (PRSA) analysis to identify types of loads.

Keywords: series arc; electrical fires; low-voltage electrical devices; phase analysis (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
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