Comparative Study of Vibration-Based Machine Learning Algorithms for Crack Identification and Location in Operating Wind Turbine Blades

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 without interrupting en...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Adolfo Salgado-Ancona, Perla Yazmín Sevilla-Camacho, José Billerman Robles-Ocampo, Juvenal Rodríguez-Reséndiz, Sergio De la Cruz-Arreola, Edwin Neptalí Hernández-Estrada
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2025-09-01
Ráidu:	AI
Fáttát:	comparative study machine learning algorithms wind turbine blades crack location root vibration signals non-identical blades
Liŋkkat:	https://www.mdpi.com/2673-2688/6/10/242
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!