文献
J-GLOBAL ID:202002247126487413
整理番号:20A0904007
特徴注意機構に基づく電力変圧器状態パラメータの予測法【JST・京大機械翻訳】
A prediction method for power transformer state parameters based on feature attention mechanism
著者 (8件):
Cui Yu
(Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China)
,
Hou Huijuan
(Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China)
,
Sheng Gehao
(Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China)
,
Jiang Xiuchen
(Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China)
,
He Min
(State Grid Zhejiang Power Company,Jiande Power Supply Company,Zhejiang,Jiande,China)
,
Jiang Guozhen
(State Grid Zhejiang Power Company,Jiande Power Supply Company,Zhejiang,Jiande,China)
,
Chi Jianfei
(State Grid Zhejiang Power Company,Jiande Power Supply Company,Zhejiang,Jiande,China)
,
Tong Jun
(State Grid Zhejiang Power Company,Jiande Power Supply Company,Zhejiang,Jiande,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
APPEEC
ページ:
1-5
発行年:
2019年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)