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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

  • 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

    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

  • 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