Lechevalier, D.
, Shin, S.
, Woo, J.
, Rachuri, S.
and Foufou, S.
(2015),
A virtual milling machine model to generate machine-monitoring data for predictive analytics, The Product Lifecycle Management (PLM) Conference 2015, Doha, QA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=918858
(Accessed December 10, 2024)
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A virtual milling machine model to generate machine-monitoring data for predictive analytics
Published
Author(s)
, , , , Sebti Foufou
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.Conference Dates
October 19-21, 2015
Conference Location
Doha, QA
Conference Title
The Product Lifecycle Management (PLM) Conference 2015
Pub Type
Conferences
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Keywords
STEP, MTConnect, milling, data generator, data analytics
Citation
Issues
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Created October 18, 2015, Updated April 4, 2022