A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics
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Titre | A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics |
Type de publication | Conference Paper |
Year of Publication | 2016 |
Auteurs | Lechevalier D, Shin S-J, Woo J, Rachuri S, Foufou S |
Editor | Bouras A, Eynard B, Foufou S, Thoben KD |
Conference Name | PRODUCT LIFECYCLE MANAGEMENT IN THE ERA OF INTERNET OF THINGS, PLM 2015 |
Publisher | IFIP Working Grp WG 5 1; Qatar Natl Res Fund |
Conference Location | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
ISBN Number | 978-3-319-33111-9; 978-3-319-33110-2 |
Mots-clés | data analytics, Data generator, Milling, MTConnect, STEP |
Résumé | 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. |
DOI | 10.1007/978-3-319-33111-9_76 |