UAV based defect detection and fault diagnosis for static and rotating wind turbine blade: a review-Reference-Cited by-同舟云学术

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UAV based defect detection and fault diagnosis for static and rotating wind turbine blade: a review

Published:2024-08-28 Issue: Volume: Page:1-39
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Zhang Shangchen¹,He Yunze¹²,Gu Yongfu¹,He Yufen¹,Wang Haoyu¹,Wang Hongjin¹,Yang Ruizhen¹,Chady Tomasz³,Zhou Bo⁴

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

2. Shenzhen Research Institute, Hunan University, Shenzhen, China

3. Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, Poland

4. School of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang, China

Funder

National Natural Science Foundation of China

Leading Talents in Science and Technology Innovation in Hunan Province

GuangDong Basic and Applied Basic Research Foundation Offshore Wind Power Joint Fund Project

Natural Science Foundation for Distinguished Young Scholars of Hunan Province

Major Project of Natural Science Foundation of Hunan Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2395363

Reference129 articles.

1. Review of performance optimization techniques applied to wind turbines

2. Progress and trends in nondestructive testing and evaluation for wind turbine composite blade

3. Progress and Trends in Damage Detection Methods, Maintenance, and Data-driven Monitoring of Wind Turbine Blades – A Review

4. Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment

5. Strategies to mitigate declines in the economic value of wind and solar at high penetration in California

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