Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification

Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification

Demand for wind power has grown, and this has increased wind turbine blade (WTB) inspections and defect repairs. This paper empirically investigates the performance of state-of-the-art deep learning algorithms, namely, YOLOv3, YOLOv4, and Mask R-CNN for detecting and classifying defects by type. The...

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Bibliographic Details
Main Authors: Jiajun Zhang, Georgina Cosma, Jason Watkins
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Imaging
Subjects:
defect detection
wind turbine blade
deep learning
convolutional neural network
region-based convolutional neural networks
evaluation measure
Online Access:https://www.mdpi.com/2313-433X/7/3/46

Internet

https://www.mdpi.com/2313-433X/7/3/46

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