Wind turbine blade defect detection with a semi-supervised deep learning framework-Reference-Cited by-同舟云学术

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Wind turbine blade defect detection with a semi-supervised deep learning framework

Published:2024-10 Issue: Volume:136 Page:108908
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ye Xingyu^ORCID,Wang Long^ORCID,Huang Chao,Luo Xiong^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference37 articles.

1. SCADA: supervisory Control and data acquisition;Boyer;Int. Soc. Autom.,2009

2. A tip deflection calculation method for a wind turbine blade using temperature compensated FBG sensors;Choi;Smart Mater. Struct.,2012

3. Dynamic head: unifying object detection heads with attentions;Dai,2021

4. Unbiased mean teacher for cross-domain object detection;Deng,2021

5. Drone footage wind turbine surface damage detection;Foster,2022

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