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
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- Yoshikawa Hina
- 九工大
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- Kozako Masahiro
- 九工大
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- Hikita Masayuki
- 九工大
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- Eda Osamu
- Tokyo Densetsu Service Co., Ltd.
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- Shiina Yasuharu
- Tokyo Densetsu Service Co., Ltd.
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- Otsuka Masanori
- Tokyo Densetsu Service Co., Ltd.
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- Kaneko Hiroshi
- Tokyo Densetsu Service Co., Ltd.
書誌事項
- タイトル別名
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- 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
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- 電気関係学会九州支部連合大会講演論文集
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電気関係学会九州支部連合大会講演論文集 2019 (0), 328-328, 2019-09-19
電気・情報関係学会九州支部連合大会委員会
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詳細情報 詳細情報について
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- CRID
- 1390002184864696576
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- NII論文ID
- 130007788273
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可