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

Autores/as

  • 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

Palabras clave:

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

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.

Descargas

Publicado

2025-04-09

Número

Vol. 1 Núm. 12 (2025): LACCEI 2025

Sección

Articles

Licencia

Derechos de autor 2025 LACCEI

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.

Cómo citar

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