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

DOI

書誌事項

タイトル別名
  • Examination of partial discharge diagnosis for gas insulated switchgear substation using TEV sensor detection and neural network decision

抄録

<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>

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390002184864696576
  • NII論文ID
    130007788273
  • DOI
    10.11527/jceeek.2019.0_328
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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