A virtual milling machine model to generate machine-monitoring data for predictive analytics
Author | Lechevalier, David |
Author | Shin, Seung-Jun |
Author | Woo, Jungyub |
Author | Rachuri, Sudarsan |
Author | Foufou, Sebti |
Available date | 2021-09-07T06:16:18Z |
Publication Date | 2016 |
Publication Name | IFIP Advances in Information and Communication Technology |
Resource | Scopus |
ISSN | 18684238 |
Abstract | 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. IFIP International Federation for Information Processing 2016. |
Language | en |
Publisher | Springer New York LLC |
Subject | Data analytics Data generator Milling MTConnect STEP |
Type | Conference Paper |
Pagination | 835-845 |
Volume Number | 467 |
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Computer Science & Engineering [2288 items ]