文献
J-GLOBAL ID:202102242405780829
整理番号:21A0673097
グラフでモデル化した統計的時間領域特徴を用いた機械速度状態監視【JST・京大機械翻訳】
Machine Speed Condition Monitoring using Statistical Time-Domain Features Modeled with Graph
著者 (4件):
Ye Xinlai
(Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacturing of MOE National Demonstration Center for Experimental Mechanical Engineering Education School of Mechanical Engineering,Jinan,China)
,
Wen Xin
(Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacturing of MOE National Demonstration Center for Experimental Mechanical Engineering Education School of Mechanical Engineering,Jinan,China)
,
Zhu Zhenjie
(Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacturing of MOE National Demonstration Center for Experimental Mechanical Engineering Education School of Mechanical Engineering,Jinan,China)
,
Lu Guoliang
(Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacturing of MOE National Demonstration Center for Experimental Mechanical Engineering Education School of Mechanical Engineering,Jinan,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
SDPC
ページ:
76-81
発行年:
2020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)