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

Authors

  • Brayan Guzman Universidad Tecnológica Del Perú Utp - (Pe), Perú
  • Jeanpierre Arias Universidad Tecnológica Del Perú Utp - (Pe), Perú
  • Anthony Alfaro Universidad Tecnológica Del Perú Utp - (Pe), Perú

DOI:

https://doi.org/10.18687/LACCEI2025.1.1.391

Keywords:

SCADA, machine learning, TR injection molding machine, predictive maintenance

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.

Downloads

Published

2025-04-09

Issue

Vol. 1 No. 12 (2025): LACCEI 2025

Section

Articles

License

Copyright (c) 2025 LACCEI

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Guzman, B., Arias, J., & Alfaro, A. (2025). Design of a SCADA system for predictive maintenance using machine learning in a TR injection machine. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.391