A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics

被引:2
作者
Lechevalier, David [1 ,2 ]
Shin, Seung-Jun [1 ]
Woo, Jungyub [1 ,2 ,3 ]
Rachuri, Sudarsan [1 ]
Foufou, Sebti [3 ]
机构
[1] NIST, Gaithersburg, MD 20899 USA
[2] Univ Bourgogne, Le2i, Dijon, France
[3] Qatar Univ, CSE Dept, Coll Engn, Doha, Qatar
来源
PRODUCT LIFECYCLE MANAGEMENT IN THE ERA OF INTERNET OF THINGS, PLM 2015 | 2016年 / 467卷
关键词
STEP; MTConnect; Milling; Data generator; Data analytics; STEP-NC;
D O I
10.1007/978-3-319-33111-9_76
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents (1) the characteristics and specification of milling machine tools, (2) the architecture for implementing the virtual milling machine model, and (3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machine model for predictive analytics modeling.
引用
收藏
页码:835 / 845
页数:11
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