文献
J-GLOBAL ID:202202251053342458
整理番号:22A0416881
風力タービンスピンドルの核融合構造に基づく故障状態予測【JST・京大機械翻訳】
Fusion Structure-based Fault State Prediction of Wind Turbine Spindle
著者 (7件):
Qiang Baohua
(Guangxi Key Laboratory of Image and Graphic Intelligent Processing, (Guilin University of Electronic Technology), Guilin, Guangxi, China)
,
Yin Wenqiang
(Guangxi Key Laboratory of Image and Graphic Intelligent Processing, (Guilin University of Electronic Technology), Guilin, Guangxi, China)
,
Tao Xiaoling
(Guangxi Key Laboratory of Image and Graphic Intelligent Processing, (Guilin University of Electronic Technology), Guilin, Guangxi, China)
,
Li Longge
(Guangxi Key Laboratory of Image and Graphic Intelligent Processing, (Guilin University of Electronic Technology), Guilin, Guangxi, China)
,
Li Baolian
(The 54Th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China)
,
Peng Bo
(The 54Th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China)
,
Wang YuFeng
(The 54Th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
833
ページ:
712-723
発行年:
2022年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)