Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms
Wind turbine blade maintenance is expensive, dangerous, time-consuming, and prone to misdiagnosis. A potential solution to aid preventative maintenance is using deep learning and drones for inspection and early fault detection. In this research, five base deep learning architectures are investigated...
Main Authors: | Bridger Altice, Edwin Nazario, Mason Davis, Mohammad Shekaramiz, Todd K. Moon, Mohammad A. S. Masoum |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/17/5/982 |
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