Design of a SCADA system for predictive maintenance using machine learning in a TR injection machine

Brayan G.; Jeanpierre A.; Anthony A. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.391

Resumen

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.

Instituciones: Universidad Tecnológica del Perú