文献
J-GLOBAL ID:202102211442045051
整理番号:21A0178355
確率的混合モデルと半教師つきはしごネットワークに基づく転がり軸受故障診断【JST・京大機械翻訳】
Rolling bearing fault diagnosis based on probabilistic mixture model and semi-supervised ladder network
著者 (11件):
Ding Xu
(Anhui Province Key Lab of Aerospace Structural Parts Forming Technology and Equipment, Hefei University of Technology, Hefei, China)
,
Ding Xu
(Institute of Industry and Equipment Technology, Hefei University of Technology, Hefei, China)
,
Lu Xuesong
(Anhui Province Key Lab of Aerospace Structural Parts Forming Technology and Equipment, Hefei University of Technology, Hefei, China)
,
Lu Xuesong
(Institute of Industry and Equipment Technology, Hefei University of Technology, Hefei, China)
,
Lu Xuesong
(School of Mechanical Engineering, Hefei University of Technology, Hefei, China)
,
Wang Dong
(Anhui Province Key Lab of Aerospace Structural Parts Forming Technology and Equipment, Hefei University of Technology, Hefei, China)
,
Wang Dong
(Institute of Industry and Equipment Technology, Hefei University of Technology, Hefei, China)
,
Wang Dong
(School of Mechanical Engineering, Hefei University of Technology, Hefei, China)
,
Lv Qingzhou
(Institute of Intelligent Manufacturing, Huainan Union University, Huainan, China)
,
Zhai Hua
(Anhui Province Key Lab of Aerospace Structural Parts Forming Technology and Equipment, Hefei University of Technology, Hefei, China)
,
Zhai Hua
(Institute of Industry and Equipment Technology, Hefei University of Technology, Hefei, China)
資料名:
Advances in Mechanical Engineering
(Advances in Mechanical Engineering)
巻:
12
号:
12
ページ:
1687814020977748
発行年:
2020年
JST資料番号:
W5122A
ISSN:
1687-8140
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)