Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F20%3A10245525" target="_blank" >RIV/61989100:27730/20:10245525 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9233447" target="_blank" >https://ieeexplore.ieee.org/document/9233447</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSG.2020.3032527" target="_blank" >10.1109/TSG.2020.3032527</a>
Alternative languages
Result language
angličtina
Original language name
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
Original language description
The detection and characterization of partial discharge (PD) are crucial for the insulation diagnosis of overhead lines with covered conductors. With the release of a large dataset containing thousands of naturally obtained high-frequency voltage signals, data-driven analysis of fault-related PD patterns on an unprecedented scale becomes viable. The high diversity of PD patterns and background noise interferences motivates us to design an innovative pulse shape characterization method based on clustering techniques, which can dynamically identify a set of representative PD-related pulses. Capitalizing on those pulses as referential patterns, we construct insightful features and develop a novel machine learning model with a superior detection performance for early-stage covered conductor faults. The presented model outperforms the winning model in a Kaggle competition and provides the state-of-the-art solution to detect real-time disturbances in the field.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/ED2.1.00%2F19.0389" target="_blank" >ED2.1.00/19.0389: Research Infrastructure Development of the CENET</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Smart Grid
ISSN
1949-3053
e-ISSN
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Volume of the periodical
1
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
1
UT code for WoS article
999
EID of the result in the Scopus database
2-s2.0-85101956783