Exposed to the arc flash hazard

Lang, Mike; Jones, Kenneth R.

doi:10.1109/ppic.2014.6871147

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…In the presence of an air gap, a very high voltage (HV) can create a current discharge between two electrodes. This may cause temporary current spikes at a maximum frequency to occur within a very short period due to electrical discharge in voids within electrical insulation [1][2][3] . Various techniques can be employed, either directly or indirectly, to determine the presence of an incipient stage of arcing activity.…”

Section: Introductionmentioning

confidence: 99%

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Wavelet-based Arcing Signal Source Localization Algorithm using a Compact Multi-square Microstrip Antenna

Amirruddin,

Adzman,

Affendi

et al. 2024

Preprint

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Ensuring power system safety involves effective arc fault detection and localization. Existing devices struggle to differentiate normal and abnormal conditions, especially in confined spaces, posing precision challenges. Placing antennas strategically around the arc aids in detecting electromagnetic radiation, even in limited areas. This enables valuable data collection for real-time monitoring. To address these challenges, this paper proposes integrating experimental work using a compact multi-square microstrip antenna and signal processing techniques. The study compares the effectiveness of three signal processing approaches: threshold, Discrete Wavelet Transform (DWT), and Continuous Wavelet Transform (CWT). The signal processing technique separates genuine arc signals from background noise by identifying unique characteristics and isolating the dominant frequency. The Time of Arrival (ToA) is measured and used in Least Square (LS) and Gauss-Jordan Elimination (GJE) methods to calculate the arc source location. The outcomes illustrate the precision of the proposed model in detecting and pinpointing arc source signals, with error margins ranging from 6.15% to 7.13% for the CWT technique, 6.88% to 7.89% for the DWT technique, and 7.99% to 8.44% for the threshold technique. These results hold promise for enhancing the integration of experimental approaches in assessing arcing conditions, thereby addressing challenges in insulation systems.

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Section: Introductionmentioning

confidence: 99%

“…Thus, arc fault detection and location are two essential technologies that provide early protection measures to prevent potential hazards, ensuring the utility and industry are appropriately safeguarded. As a result, consumers receive a more reliable and high-quality service, with an emphasis on safety 1,4 .…”

Section: Introductionmentioning

confidence: 99%

Wavelet-based Arcing Signal Source Localization Algorithm using a Compact Multi-square Microstrip Antenna

Amirruddin,

Adzman,

Affendi

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Wavelet-based arcing signal source localization algorithm using a compact multi-square microstrip antenna

Amirruddin,

Adzman,

Mohd Affendi

et al. 2024

Sci Rep

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Ensuring power system safety involves effective arc fault detection and localization. Existing devices struggle to differentiate between normal and abnormal conditions, especially in confined spaces, posing precision challenges. Strategically placing antennas around the arc helps detect electromagnetic radiation, even in limited areas, enabling valuable data collection for real-time monitoring. To address these challenges, this paper proposes integrating experimental work using a compact multi-square microstrip antenna and signal processing techniques. The study compares the effectiveness of two signal processing approaches: Discrete Wavelet Transform (DWT), and Continuous Wavelet Transform (CWT). These techniques separate genuine arc signals from background noise by identifying unique characteristics and isolating the dominant frequency. The Time of Arrival (ToA) is measured and used in Least Square and Gauss-Jordan Elimination methods to calculate the arc source location. The outcomes illustrate the precision of the proposed model in detecting and pinpointing arc source signals, with error margins ranging from 0.0615 to 0.0713 m for the CWT technique, 0.0688 to 0.0789 m for the DWT technique, and 0.0799 to 0.0844 m from the actual signal captured. These results hold promise for enhancing the integration of experimental approaches in assessing arcing conditions, thereby addressing challenges in insulation systems.

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Considerations for the application of a MV high speed grounding switch for arc flash mitigation of LV equipment

Catlett

Lang

Scala³

2016

2016 IEEE Pulp, Paper &Amp; Forest Industries Conference (PPFIC)

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Exposed to the arc flash hazard

Cited by 3 publications

References 20 publications

Wavelet-based Arcing Signal Source Localization Algorithm using a Compact Multi-square Microstrip Antenna

Wavelet-based Arcing Signal Source Localization Algorithm using a Compact Multi-square Microstrip Antenna

Wavelet-based arcing signal source localization algorithm using a compact multi-square microstrip antenna

Considerations for the application of a MV high speed grounding switch for arc flash mitigation of LV equipment

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