标题：Digital twin modeling method for CNC machine tool
作者：Luo, Weichao ;Hu, Tianliang ;Zhu, Wendan ;Tao, Fei
作者机构：[Luo, Weichao ;Hu, Tianliang ;Zhu, Wendan ] School of Mechanical Engineering, Shandong University, Jinan; 250061, China;[Tao, Fei ] School of Automati 更多
会议名称：15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018
会议日期：27 March 2018 through 29 March 2018
来源：ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
关键词：CNC machine tool (CNCMT); Digital Twin (DT); Fault predict and diagnosis; Smart manufacturing
摘要：CNC machine tool (CNCMT) is the mother machine of industry, which plays an important role in the coming smart manufacturing. The intelligence of CNCMT has a big significance, which will enables its self-sensing, self-prediction and self-maintenance without user concerns. In order to realize the intelligence of CNCMT, a Digital Twin (DT) modeling method for CNCMT is researched, including a multi-domain unified modeling method, a mapping method and an autonomous strategy. This paper provides a demonstration of DT modeling method for CNCMT. © 2018 IEEE.