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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F23%3A10253251" target="_blank" >RIV/61989100:27740/23:10253251 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/23:10253251 RIV/61989100:27240/23:10253251
Result on the web
<a href="https://www.nature.com/articles/s41597-023-02451-1" target="_blank" >https://www.nature.com/articles/s41597-023-02451-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-023-02451-1" target="_blank" >10.1038/s41597-023-02451-1</a>

Result language
angličtina
Original language name
A Data Set of Signals from an Antenna for Detection of Partial Discharges in Overhead Insulated Power Line
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)