Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256130" target="_blank" >RIV/61989100:27240/24:10256130 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27730/24:10256130
Výsledek na webu
<a href="https://www.nature.com/articles/s41597-024-04009-1" target="_blank" >https://www.nature.com/articles/s41597-024-04009-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-024-04009-1" target="_blank" >10.1038/s41597-024-04009-1</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines
Popis výsledku v původním jazyce
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 106 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.
Název v anglickém jazyce
Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines
Popis výsledku anglicky
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 106 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific data
ISSN
2052-4463
e-ISSN
2052-4463
Svazek periodika
11
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
14
Strana od-do
1319
Kód UT WoS článku
001370434100005
EID výsledku v databázi Scopus
2-s2.0-85211328260