Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines

This abstract presents a dataset for the detection of fault types in XLPE-covered conductors utilized in 22 kV medium voltage power distribution systems. We employed an antenna-based approach for detecting partial discharges. The dataset encompasses 12 distinct fault categories, ranging from ground phase faults to inter-phase faults, and no-fault case with steel or covered conductor as fault. We also used three different antennas. Each sample is a single measurement from antenna, consisting of 10<sup>6</sup> data points as floating numbers. The utilization of the antenna-based method offers the potential for a more cost-effective and straightforward installation for the detection of partial discharges. The objective of dataset is to enhance the identification of fault types, thereby promoting broader adoption of covered conductors in overhead power distribution lines. Such adoption proves particularly beneficial in confined areas, including natural parks, where safety is a prime concern. It is noteworthy that this dataset represents an original contribution, as no prior publication has addressed detection for this specific range of fault types and method of detection.

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Publication Details

Journal
Scientific Data
Published
2024-12-04
DOI
https://doi.org/10.1038/s41597-024-04009-1
Citations
4
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
Field-Weighted Citation Impact
0.47
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article

Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines

Zdeněk Slanina, Lukáš Prokop, Ondřej Kabot, Stanislav Mišák et al.
4 citations
Scientific Data
High voltage insulation and dielectric phenomena
0.47
article

Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines

Zdeněk Slanina, Lukáš Prokop, Ondřej Kabot, Stanislav Mišák, Lukáš Klein
article en
4 citations

Abstract

This abstract presents a dataset for the detection of fault types in XLPE-covered conductors utilized in 22 kV medium voltage power distribution systems. We employed an antenna-based approach for detecting partial discharges. The dataset encompasses 12 distinct fault categories, ranging from ground phase faults to inter-phase faults, and no-fault case with steel or covered conductor as fault. We also used three different antennas. Each sample is a single measurement from antenna, consisting of 10<sup>6</sup> data points as floating numbers. The utilization of the antenna-based method offers the potential for a more cost-effective and straightforward installation for the detection of partial discharges. The objective of dataset is to enhance the identification of fault types, thereby promoting broader adoption of covered conductors in overhead power distribution lines. Such adoption proves particularly beneficial in confined areas, including natural parks, where safety is a prime concern. It is noteworthy that this dataset represents an original contribution, as no prior publication has addressed detection for this specific range of fault types and method of detection.

Scientific DataVol. 11(1)
VSB - Technical University of Ostrava (CZ)
Affordable and clean energy
Openalex Percentile: Top 37%
High voltage insulation and dielectric phenomena
0.47
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