Examination of partial discharge diagnosis for gas insulated switchgear substation using TEV sensor detection and neural network decision
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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.
Bibliographic Information
- Other Title
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- 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
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- Record of Joint Conference of Electrical and Electronics Engineers in Kyushu
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Record of Joint Conference of Electrical and Electronics Engineers in Kyushu 2019 (0), 328-328, 2019-09-19
Committee of Joint Conference of Electrical, Electronics and Information Engineers in Kyushu
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Details 詳細情報について
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- CRID
- 1390002184864696576
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- NII Article ID
- 130007788273
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed