A Data Set of Signals from an Antenna for Detection of Partial Discharges in Overhead Insulated Power Line.

Autor: Klein L; Department of Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic. lukas.klein@vsb.cz.; ENET centre - CEET, VSB - Technical University of Ostrava, Ostrava, Czech Republic. lukas.klein@vsb.cz., Fulneček J; ENET centre - CEET, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Seidl D; Department of Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic.; ENET centre - CEET, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Prokop L; ENET centre - CEET, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Mišák S; ENET centre - CEET, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Dvorský J; ENET centre - CEET, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Piecha M; MINISTRY OF INDUSTRY AND TRADE, Prague, Czech Republic.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2023 Aug 21; Vol. 10 (1), pp. 544. Date of Electronic Publication: 2023 Aug 21.
DOI: 10.1038/s41597-023-02451-1
Abstrakt: We introduce a data set obtained via a contactless antenna method for detecting partial discharges in XLPE-covered conductors used in medium-voltage overhead power transmission lines. The data set consists of almost three years' worth of data, collected every hour from 9 measuring stations in Czechia and Slovakia. Each sample in the data set represents a single signal gathered for 20 ms. The contactless method is deployed on the same stations as the galvanic contact method, which is used by power distributors and can provide ground truth. Also manually curated data by human expert are present. Successful detection of partial discharges can prevent electricity shutdowns and forest fires resulting from insulation failure due to vegetation contact. The data set is particularly relevant for covered conductors used in mountainous regions where establishing a safe zone is challenging. The contactless method offers advantages such as cheaper and easier installation. The data set has the potential to develop machine learning models to detect partial discharges and facilitate safer and cheaper use of covered conductors.
(© 2023. Springer Nature Limited.)
Databáze: MEDLINE
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