文献
J-GLOBAL ID:202102213911993100
整理番号:21A1277357
深い機能自動エンコーダに基づく転がり要素軸受の知的故障診断のための新しい教師なし学習法【JST・京大機械翻訳】
A novel unsupervised learning method for intelligent fault diagnosis of rolling element bearings based on deep functional auto-encoder
著者 (5件):
Aljemely Anas H.
(School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
,
Xuan Jianping
(School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
,
Jawad Farqad K. J.
(School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan, China)
,
Al-Azzawi Osama
(School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan, China)
,
Alhumaima Ali S.
(School of Electronic Engineering and Computer Science, South Ural State University, Chelyabinsk, Russia)
資料名:
Journal of Mechanical Science and Technology
(Journal of Mechanical Science and Technology)
巻:
34
号:
11
ページ:
4367-4381
発行年:
2020年
JST資料番号:
W1151A
ISSN:
1738-494X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)