Crack Location in Wind Turbine Blades Using Vibration Signal and Support Vector Machine

Crack Location in Wind Turbine Blades Using Vibration Signal and Support Vector Machine

This study introduces a new method to locate cracks in wind turbine blades using the support vector machine algorithm and the tangential vibration signal measured at the root blade in static conditions. The method was implemented in hardware and experimentally validated on 200 W wind turbine blades....

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Bibliographic Details
Main Authors: Perla Y. Sevilla-Camacho, José B. Robles-Ocampo, Juvenal Rodríguez-Resendíz, Sergio De la Cruz-Arreola, Marco A. Zuñiga-Reyes, Edwin N. Hernández-Estrada
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Vibration
Subjects:
crack location
wind turbine
blade
vibration signal
machine learning
support vector machine
Online Access:https://www.mdpi.com/2571-631X/8/2/20
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