Radar-Based Damage Detection in a Wind Turbine Blade Using Convolutional Neural Networks: A Proof-of-Concept Under Fatigue Loading

Radar-Based Damage Detection in a Wind Turbine Blade Using Convolutional Neural Networks: A Proof-of-Concept Under Fatigue Loading

This paper reports a convolutional neural network (CNN)-based damage detection approach for radar-based structural health monitoring of wind turbine blades. Subsequent radar measurements are transformed into an image-type representation for use as CNN input. In contrast to conventional approaches th...

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Bibliographic Details
Main Authors: Erik Streser, Sercan Alipek, Manuel Rao, Jonas Simon, Jochen Moll, Peter Kraemer, Viktor Krozer
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
structural health monitoring
damage detection
wind turbine blade
FMCW radar
millimeter-wave
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/25/11/3337
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