文献
J-GLOBAL ID:202102228074398860
整理番号:21A0003960
産業システムにおけるクラス不均衡故障診断のための局所適応少数選択とオーバサンプリング法【JST・京大機械翻訳】
A Local Adaptive Minority Selection and Oversampling Method for Class-Imbalanced Fault Diagnostics in Industrial Systems
著者 (6件):
Wu Zhenyu
(Engineering Research Center of Information Network, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Lin Wenfang
(Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Fu Binghao
(Engineering Research Center of Information Network, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Guo Juchuan
(Engineering Research Center of Information Network, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Ji Yang
(Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Pecht Michael
(Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MD, USA)
資料名:
IEEE Transactions on Reliability
(IEEE Transactions on Reliability)
巻:
69
号:
4
ページ:
1195-1206
発行年:
2020年
JST資料番号:
C0448A
ISSN:
0018-9529
CODEN:
IERQAD
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)