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Impulse signals classification using one dimensional convolutional neural network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43960437" target="_blank" >RIV/49777513:23220/20:43960437 - isvavai.cz</a>

  • Result on the web

    <a href="http://iris.elf.stuba.sk/JEEEC/data/pdf/6_120-04.pdf" target="_blank" >http://iris.elf.stuba.sk/JEEEC/data/pdf/6_120-04.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/jee-2020-0054" target="_blank" >10.2478/jee-2020-0054</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impulse signals classification using one dimensional convolutional neural network

  • Original language description

    The main purpose of this work is to propose a modern one-dimensional convolutional neural network (1 D CNN) configurations for distinguishing separate PD impulses from different types of PD sources while the parameters of these sources are changed. Three PD sources were built for signal generation: corona discharge, discharge in a void, and surface discharge. The reason for using separate PD impulses for classification is to develop a universal tool with the ability to recognize an insulation defects by analysing very few events in the insulation in a short range of time. Additionally, we found the optimal sample rates for the data acquisition for these network configurations. The necessity of signal filtering was also tested. The following configurations of a neural network were proposed: configuration for classification raw PD impulses; configuration for classification of PD impulses represented by power spectral density, for both filtered and unfiltered variants.

  • 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

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    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

    Journal of ELECTRICAL ENGINEERING

  • ISSN

    1335-3632

  • e-ISSN

  • Volume of the periodical

    71

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    9

  • Pages from-to

    397-405

  • UT code for WoS article

    000604437400004

  • EID of the result in the Scopus database

    2-s2.0-85098978061