文献
J-GLOBAL ID:201802242154918092
整理番号:18A1897376
産業用ロボット監視のための視覚ベース故障分類【JST・京大機械翻訳】
Vision-Based Fault Classification for Monitoring Industrial Robot
著者 (6件):
Fan Song
(College of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, 114051, China)
,
Zhang Li Min
(Lingyuan Steel Co LTD, University of Science and Technology Liaoning, Chao yang, Liaoning, 122500, China)
,
Wang Jia
(Anshan City Land Resources Survey and Design Institute, Anshan, Liaoning, 114002, China)
,
Wang Yu Feng
(College of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, 114051, China)
,
Zhang Qing Si
(College of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, 114051, China)
,
Zhao Hui
(College of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, 114051, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
CCC
ページ:
5889-5894
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)