Automatic defect detection in wind turbine blades: A Deep Learning Model Pipeline for Detection and Classification of Defects in Drone Images

Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science

Bibliographic Details
Main Author: Neves, Lara Souto das (author)
Format: masterThesis
Language:eng
Published: 2022
Subjects:
Machine Learning
Wind Turbines
Turbine Blades
Deep Learning
Faster-RCNN
TensorFlow
Object Detection API
Automatic Defect Detection
Damage Detection
Artificial Intelligence
Optimising Wind O&M
SDG 7 - Affordable and clean energy
Online Access:http://hdl.handle.net/10362/134713
Country:Portugal
Oai:oai:run.unl.pt:10362/134713

Internet

http://hdl.handle.net/10362/134713

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