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Recent advances in damage detection of wind turbine blades: A state-of-the-art review
Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …
greener environment. In recent years, a rapid growth in the development and installation of …
Damage detection techniques for wind turbine blades: A review
Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …
to damage arising from complex and irregular loading or even cause catastrophic collapse …
Wind turbine surface damage detection by deep learning aided drone inspection analysis
Timely detection of surface damages on wind turbine blades is imperative for minimizing
downtime and avoiding possible catastrophic structural failures. With recent advances in …
downtime and avoiding possible catastrophic structural failures. With recent advances in …
Study on crack monitoring method of wind turbine blade based on AI model: Integration of classification, detection, segmentation and fault level evaluation
X Hang, X Zhu, X Gao, Y Wang, L Liu - Renewable Energy, 2024 - Elsevier
The stability of wind turbines is closely related to the economic benefits of wind energy. To
improve the stability of the wind turbine, a comprehensive image diagnosis method based …
improve the stability of the wind turbine, a comprehensive image diagnosis method based …
Identification of surface defects on solar pv panels and wind turbine blades using attention based deep learning model
The global generation of renewable energy has rapidly increased, primarily due to the
installation of large-scale renewable energy power plants. However, monitoring renewable …
installation of large-scale renewable energy power plants. However, monitoring renewable …
[HTML][HTML] A digital twin-based framework for simulation and monitoring analysis of floating wind turbine structures
Y Liu, JM Zhang, YT Min, Y Yu, C Lin, ZZ Hu - Ocean Engineering, 2023 - Elsevier
It is currently a prevailing trend to adopt clean energies instead of traditional ones due to the
global climate change caused by carbon emissions. Offshore wind farms, in particular, have …
global climate change caused by carbon emissions. Offshore wind farms, in particular, have …
Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis
The mass of ice on wind turbines blades is one of the main problems that energy companies
have in cold climates. This paper presents a novel approach to detect and classify ice …
have in cold climates. This paper presents a novel approach to detect and classify ice …
One year monitoring of an offshore wind turbine: Variability of modal parameters to ambient and operational conditions
This paper presents the variation of identified modal parameters of an offshore wind turbine
(OWT) over one year of continuous monitoring. The considered OWT is a Haliade 150–6 …
(OWT) over one year of continuous monitoring. The considered OWT is a Haliade 150–6 …
Research on crack detection method of wind turbine blade based on a deep learning method
Z **aoxun, H **nyu, G **aoxia, Y **ng, X Zixu, W Yu… - Applied Energy, 2022 - Elsevier
For the propose of improving the economic benefits of wind turbine utilization, an image
recognition model based on deep learning called 'Multivariate Information You Only Look …
recognition model based on deep learning called 'Multivariate Information You Only Look …
Health monitoring and safety evaluation of the offshore wind turbine structure: a review and discussion of future development
J Lian, O Cai, X Dong, Q Jiang, Y Zhao - Sustainability, 2019 - mdpi.com
With the depletion of fossil energy, offshore wind power has become an irreplaceable
energy source for most countries in the world. In recent years, offshore wind power …
energy source for most countries in the world. In recent years, offshore wind power …