Recent advances in damage detection of wind turbine blades: A state-of-the-art review

P Kaewniam, M Cao, NF Alkayem, D Li… - … and Sustainable Energy …, 2022 - Elsevier
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 …

Damage detection techniques for wind turbine blades: A review

Y Du, S Zhou, X **g, Y Peng, H Wu, N Kwok - Mechanical Systems and …, 2020 - Elsevier
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 …

Wind turbine surface damage detection by deep learning aided drone inspection analysis

ASM Shihavuddin, X Chen, V Fedorov… - Energies, 2019 - mdpi.com
Timely detection of surface damages on wind turbine blades is imperative for minimizing
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 …

Identification of surface defects on solar pv panels and wind turbine blades using attention based deep learning model

D Dwivedi, KVSM Babu, PK Yemula… - … Applications of Artificial …, 2024 - Elsevier
The global generation of renewable energy has rapidly increased, primarily due to the
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 …

Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis

AA Jiménez, FPG Márquez, VB Moraleda… - Renewable energy, 2019 - Elsevier
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 …

One year monitoring of an offshore wind turbine: Variability of modal parameters to ambient and operational conditions

M Song, NP Mehr, B Moaveni, E Hines… - Engineering …, 2023 - Elsevier
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 …

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 …

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 …