Aplicación de Técnicas de Inteligencia Artificial para la predicción de fallas en un aerogenerador de eje horizontal utilizando los datos del Sistema SCADA

In this work, the prediction of failures in a generator of horizontal axis wind turbine is performed by binary classification using Artificial Intelligence techniques, specifically Machine Learning and Deep Learning. The main objective of this research is to generate a fault prediction model by anal...

• Main Author: Puchaicela Castillo, Jorge Alexander (author)
• Format: bachelorThesis
• Language: spa
• Published: 2023
• Subjects: MACHINE LEARNING; DEEP LEARNING; CLASIFICACIÓN DESEQUILIBRADA; MATRIZ DE CONFUSIÓN; AEROGENERADOR.
• Online Access: https://dspace.unl.edu.ec/jspui/handle/123456789/27657