Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis

Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis

Timely detection of surface damages on wind turbine blades is imperative for minimizing downtime and avoiding possible catastrophic structural failures. With recent advances in drone technology, a large number of high-resolution images of wind turbines are routinely acquired and subsequently analyze...

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Bibliographic Details
Main Authors: ASM Shihavuddin, Xiao Chen, Vladimir Fedorov, Anders Nymark Christensen, Nicolai Andre Brogaard Riis, Kim Branner, Anders Bjorholm Dahl, Rasmus Reinhold Paulsen
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Energies
Subjects:
wind energy
rotor blade
wind turbine
drone inspection
damage detection
deep learning
Convolutional Neural Network (CNN)
Online Access:https://www.mdpi.com/1996-1073/12/4/676

Internet

https://www.mdpi.com/1996-1073/12/4/676

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