文献
J-GLOBAL ID:201902211531116962
整理番号:19A0518446
検出機構の選択をサポートするスマート製造システムにおける異常の分類【JST・京大機械翻訳】
Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms
著者 (8件):
Lopez Felipe
(Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA)
,
Saez Miguel
(Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA)
,
Shao Yuru
(Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA)
,
Balta Efe C.
(Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA)
,
Moyne James
(Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA)
,
Mao Z. Morley
(Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA)
,
Barton Kira
(Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA)
,
Tilbury Dawn
(Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA)
資料名:
IEEE Robotics and Automation Letters
(IEEE Robotics and Automation Letters)
巻:
2
号:
4
ページ:
1885-1892
発行年:
2017年
JST資料番号:
W2448A
ISSN:
2377-3766
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)