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

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 Czechi...

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Bibliographic Details
Published in:Scientific data Vol. 10; no. 1; pp. 544 - 10
Main Authors: Klein, Lukáš, Fulneček, Jan, Seidl, David, Prokop, Lukáš, Mišák, Stanislav, Dvorský, Jiří, Piecha, Marian
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 21.08.2023
Nature Publishing Group
Nature Portfolio
Subjects:
639/166/987
639/4077/4073/4099
639/705/1046
Conductors
Data Descriptor
Datasets
Electricity distribution
Forest fires
Humanities and Social Sciences
multidisciplinary
Science
Science (multidisciplinary)
ISSN:2052-4463, 2052-4463
Online Access:Get full text
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Summary: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.
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ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-023-02451-1