标题:Digital Twin modeling method for CNC machine tool
作者:Luo, Weichao; Hu, Tianliang; Zhu, Wendan; Tao, Fei
通讯作者:Hu, TL;Hu, TL
作者机构:[Luo, Weichao; Hu, Tianliang; Zhu, Wendan] Shandong Univ, Sch Mech Engn, Jinan 250061, Shandong, Peoples R China.; [Luo, Weichao; Hu, Tianliang; Zhu 更多
会议名称:15th IEEE International Conference on Networking, Sensing and Control (ICNSC)
会议日期:MAR 27-29, 2018
来源:2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)
出版年:2018
关键词:CNC machine tool (CNCMT); Digital Twin (DT); Smart manufacturing; Fault; predict and diagnosis
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.
收录类别:CPCI-S
资源类型:会议论文
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