crossrefAI2025-09-25Cited by 1
Comparative Study of Vibration-Based Machine Learning Algorithms for Crack Identification and Location in Operating Wind Turbine Blades
Adolfo Salgado-Ancona, Perla Yazmín Sevilla-Camacho, José Billerman Robles-Ocampo, Juvenal Rodríguez-Reséndiz, Sergio De la Cruz-Arreola, Edwin Neptalí Hernández-Estrada
The growing energy demand has increased the number of wind turbines, raising the need to monitor blade health. Since blades are prone to damage that can cause severe failures, early detection is crucial. Machine learning-based monitoring systems can identify and locate cracks wit…