Design of a SCADA system for predictive maintenance using machine learning in a TR injection machine (#391)
Read ArticleDate of Conference
July 16-18, 2025
Published In
"Engineering, Artificial Intelligence, and Sustainable Technologies in service of society"
Location of Conference
Mexico
Authors
Guzman, Brayan
Arias, Jeanpierre
Alfaro, Anthony
Abstract
This study proposes the design of a SCADA system incorporating Machine Learning and linear regression to enhance predictive maintenance for the TR injection molding machine. The objective is to minimize failures and operational costs through the analysis of electrical and environmental parameters that influence the machine's performance. The system's effectiveness is evaluated via simulations, with an emphasis on failure prediction and maintenance optimization.