Examination of partial discharge diagnosis for gas insulated switchgear substation using TEV sensor detection and neural network decision

DOI

Bibliographic Information

Other Title
  • ニューラルネットワークおよびTEVセンサを用いた実変電所における部分放電診断の検討

Abstract

<p>In this report, the two types of ANN were used to discriminate between PD and noise for signals acquired from a 72 kV tank type gas insulated switchgear (GIS) installed at a substation. The signals obtained from the GIS also include those caused by abnormalities due to floating electrodes that are confirmed by internal inspection after the measurement. It was found that the signals caused by the abnormality are mainly judged as noise and PD by ANN_WP and ANN_PR, respectively.</p>

Journal

Details 詳細情報について

  • CRID
    1390002184864696576
  • NII Article ID
    130007788273
  • DOI
    10.11527/jceeek.2019.0_328
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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