Detection of Defects in Wind Turbin Blade Based on Cascaded Adaptive Hybrid Attention Network

Detection of Defects in Wind Turbin Blade Based on Cascaded Adaptive Hybrid Attention Network

Wind turbine blades are susceptible to various types of damage caused by environmental factors, external forces, and other influences. Achieving efficient and accurate detection of damage defects in wind turbine blades is essential to extend the service life of wind turbines. To this end, this paper...

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Bibliographic Details
Main Authors: Yuanxi Zhao, Zhibin Qiu, Ying Zhang, Hao Quan, Ziheng Wei, Xuan Zhu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Wind turbine
blade damage
defect detection
cascaded adaptive hybrid attention
Online Access:https://ieeexplore.ieee.org/document/10600679/

Internet

https://ieeexplore.ieee.org/document/10600679/

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