Modelo híbrido de predicción de fallas para los aerogeneradores de la Central Eólica Villonaco utilizando inteligencia artificial y datos del sistema SCADA

Wind energy has emerged as a promising alternative to the use of fossil fuels, becoming one of the fastest-growing sources of renewable energy worldwide. Despite its advantages, the efficiency of wind energy is limited by the costs associated with operation and maintenance (O&M), which represent...

• Автор: Castillo Castro, Wagner Cristhoper (author)
• Формат: bachelorThesis
• Мова: spa
• Опубліковано: 2024
• Предмети: ALGORITMOS DE APRENDIZAJE AUTOMÁTICO; PREDICCIÓN DE FALLAS; TÉCNICAS DE SOBREMUESTREO; TÉCNICAS DE COMBINACIÓN DE ALGORITMOS
• Онлайн доступ: https://dspace.unl.edu.ec/jspui/handle/123456789/29974