Experimental Observations of the Transient Characteristics of Series dc Arcs with Capacitive Loads

Bauer, Eric; Foster, Matt; Hall, Bailey; Wang, Jin; Schweickart, D.L.; Grosjean, Dennis

doi:10.1109/ipmhvc.2018.8936799

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Therefore, the addition of capacitance will reduce the probability of generating an arc. In [55], the impact of load capacitance on the arc severity (classified as 'open circuit', 'failed to sustain arc', and 'sustained arc') was discussed. A comparison was made by fixing the load current at 25 A and observing the differences in severity between 350 V and 540 V source voltages across all capacitances.…”

Section: B Electrical Factorsmentioning

confidence: 99%

Review of DC Series Arc Fault Testing Methods and Capability Assessment of Test Platforms for More-Electric Aircraft

Psaras¹,

Seferi

Syed

et al. 2022

IEEE Trans. Transp. Electrific.

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In the new era of increasingly electric aircraft, the need for reliable and safe electrical systems is more important than ever. In addition, the wide scale adoption of DC distribution is considered a key enabling technology for more efficient aircraft operation. In this context, arc fault detection devices have become a topic of interest for the aviation industry with ongoing research to characterize the impact and adequately protect against severe DC series arc faults. Although DC arc faults have been widely investigated for utility applications (such as solar photo-voltaic systems), direct adoption of current practices for validating arc detection devices is not straightforward due to the distinct aircraft operating environment. This paper provides a first of its kind, landscaping exercise of published series arc fault testing based on factors associated with aircraft applications which have the potential to influence the arc characteristics. In addition, an appraisal and associated gap analysis of published arc test platforms is undertaken in order to assess their suitability to support in-depth testing of the impact and mitigation of series arcs within future aircraft DC electrical systems and identify future testing needs in particular to better facilitate a comprehensive performance validation of new arc fault detection devices.

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Section: B Electrical Factorsmentioning

confidence: 99%

Review of DC Series Arc Fault Testing Methods and Capability Assessment of Test Platforms for More-Electric Aircraft

Psaras¹,

Seferi

Syed

et al. 2022

IEEE Trans. Transp. Electrific.

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“…An arc is characterized by high current density, high temperature, and visible light emission. For this reason, an arc fault is one of the main causes of electric fires [3,11,12].…”

Section: Series Arcmentioning

confidence: 99%

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

Kim

Kil

2020

Energies

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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.

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