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

Detalhes bibliográficos
Autor principal: Neves, Lara Souto das (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
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
Texto completo:http://hdl.handle.net/10362/134713
País:Portugal
Oai:oai:run.unl.pt:10362/134713

Texto Completo

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

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