文献
J-GLOBAL ID:201802297416288021
整理番号:18A1723581
合成オーバサンプリングと特徴学習を用いた回転機械の不均衡データ故障診断【JST・京大機械翻訳】
Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning
著者 (5件):
Zhang Yuyan
(State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China)
,
Li Xinyu
(State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China)
,
Gao Liang
(State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China)
,
Wang Lihui
(Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden)
,
Wen Long
(State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China)
資料名:
Journal of Manufacturing Systems
(Journal of Manufacturing Systems)
巻:
48
号:
PC
ページ:
34-50
発行年:
2018年
JST資料番号:
D0396B
ISSN:
0278-6125
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)