Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A virtual milling machine model to generate machine-monitoring data for predictive analytics

Published

Author(s)

David Lechevalier, Seungjun Shin, Jungyub Woo, Sudarsan Rachuri, 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

Keywords

STEP, MTConnect, milling, data generator, data analytics

Citation

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 April 15, 2024)
Created October 18, 2015, Updated April 4, 2022