An exponential smoothing multi-head graph attention network (ESMGAT) method for damage zone localization on wind turbine blades-Reference-Cited by-同舟云学术

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An exponential smoothing multi-head graph attention network (ESMGAT) method for damage zone localization on wind turbine blades

Published:2024-08 Issue: Volume:342 Page:118224
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Zhao Zhimin^ORCID,Chen Nian-Zhong^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference64 articles.

1. Hutchinson M, Zhao F. Global wind report 2023. Brussels, Belgium: Global Wind Power Council. Tech. Rep; 2023.

2. Turbine Accident Statistics – Scotland Against Spin; n.d. https://scotlandagainstspin.org/turbine-accident-statistics/ (accessed July 10, 2023).

3. Simulation of mechanical behavior and damage of a large composite wind turbine blade under critical loads;Tarfaoui;Appl Compos Mater,2018

4. Finite element analysis of composite offshore wind turbine blades under operating conditions;Tarfaoui;J Therm Sci Eng Appl,2020

5. Structural analysis of offshore wind turbine blades using finite element method;Boudounit;Wind Eng,2020

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