Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images

Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images

Wind turbine blade leading edge erosion is a major source of power production loss and early detection benefits optimization of repair strategies. Two machine learning (ML) models are developed and evaluated for automated quantification of the areal extent, morphology and nature (deep, shallow) of d...

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Bibliographic Details
Main Authors: Jeanie A. Aird, Rebecca J. Barthelmie, Sara C. Pryor
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
leading edge erosion
wind turbines
wind energy
image processing
image segmentation
convolutional neural network
Online Access:https://www.mdpi.com/1996-1073/16/6/2820

Internet

https://www.mdpi.com/1996-1073/16/6/2820

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