文献
J-GLOBAL ID:202202240091132473
整理番号:22A0918011
限られたラベル付きデータを持つ回転機械の知的故障診断のための自己教師つき学習【JST・京大機械翻訳】
Self-supervised learning for intelligent fault diagnosis of rotating machinery with limited labeled data
著者 (5件):
Li Guoqiang
(School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
,
Wu Jun
(School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, China)
,
Deng Chao
(School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
,
Wei Meirong
(School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, China)
,
Xu Xuebing
(School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, China)
資料名:
Applied Acoustics
(Applied Acoustics)
巻:
191
ページ:
Null
発行年:
2022年
JST資料番号:
D0559A
ISSN:
0003-682X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)