Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989100:27730/24:10256130
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Dataset for Antenna-Based Detection of Fault Types in Covered Conductors for 22 kV Voltage Power Lines
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
O - Projekt operacniho programu
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific data
ISSN
2052-4463
e-ISSN
2052-4463
Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
1319
UT code for WoS article
001370434100005
EID of the result in the Scopus database
2-s2.0-85211328260