文献
J-GLOBAL ID:202202289535783799
整理番号:22A0941366
軸受初期故障のオンライン検出のための共同敵対訓練による新しいディープドメイン適応法【JST・京大機械翻訳】
A new deep domain adaptation method with joint adversarial training for online detection of bearing early fault
著者 (6件):
Mao Wentao
(School of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China)
,
Mao Wentao
(Engineering Lab of Intelligence Business & Internet of Things, Henan Province 453007, China)
,
Ding Ling
(School of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China)
,
Liu Yamin
(School of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China)
,
Afshari Sajad Saraygord
(Department of Mechanical Engineering, University of Manitoba, Winnipeg, R3T 5V6, Canada)
,
Liang Xihui
(Department of Mechanical Engineering, University of Manitoba, Winnipeg, R3T 5V6, Canada)
資料名:
ISA Transactions
(ISA Transactions)
巻:
122
ページ:
444-458
発行年:
2022年
JST資料番号:
B0580A
ISSN:
0019-0578
CODEN:
ISATAZ
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)