Open access
2026
Comparative Evaluation of Machine Learning Models for Predictive Maintenance Using the AI4I 2020 Dataset: Effects of Data Balancing and Feature Selection
The main conclusions obtained demonstrate that it is possible to build reliable models capable of maximizing fault detection and minimizing false alarms, which is vital for predictive maintenance systems in industries where accuracy is critical.
Juan Carlos Gonzalez Islas, Jesus Vargas-Ortiz, Aldo Márquez-Grajales et al.
· ITEGAM- Journal of Engineeri... · 0 citations