Structural Damage Identification of Low-Carbon Energy Infrastructure Using Convolutional Neural Networks: A Case Study of Wind Turbines
Author:
Affiliation:
1. School of Computing and Engineering, University of West London,London,UK,W5 5RF
2. School of Energy and Sustainability, Cranfield University,Bedfordshire,UK,MK43 0AL
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275139/10275143/10275268.pdf?arnumber=10275268
Reference24 articles.
1. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2. An economic assessment framework for decommissioning of offshore wind farms using a cost breakdown structure
3. A review of the research and application of deep learning-based computer vision in structural damage detection
4. Detection of Cracks and damage in wind turbine blades using artificial intelligence-based image analytics
5. NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification
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