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 …

Condition-based maintenance of wind turbine structures: A state-of-the-art review

SY Oh, C Joung, S Lee, YB Shim, D Lee… - … and Sustainable Energy …, 2024 - Elsevier
Wind turbine structures have become increasingly popular due to global trends in
renewable energy policies. However, more than 3800 failures are reported annually, and …

In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures

S Sun, T Wang, F Chu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Blades are critical components in wind turbines (WTs) for power generation, and condition
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …

[HTML][HTML] Image recognition of wind turbine blade defects using attention-based MobileNetv1-YOLOv4 and transfer learning

C Zhang, T Yang, J Yang - Sensors, 2022 - mdpi.com
Recently, the machine-vision-based blades surface damage detection technique has
received great attention for its low cost, easy operation, and lack of a need for prior …

Vibration-based damage detection in a wind turbine blade through operational modal analysis under wind excitation

J Pacheco-Chérrez, O Probst - Materials Today: Proceedings, 2022 - Elsevier
In the present study, a vibration-based structural health monitoring (SHM) method for wind
turbine blades using Operational Modal Analysis (OMA) is presented. To simulate the …

Multi-objective sensor placement optimization in SHM systems with Kriging-based mode shape interpolation

FM de Souza Mello, JLJ Pereira, GF Gomes - Journal of Sound and …, 2024 - Elsevier
Sensor location optimization plays a key role in the application and development of
structural integrity monitoring methodologies, especially in large mechanical structures …

Operational modal analysis for damage detection in a rotating wind turbine blade in the presence of measurement noise

J Pacheco-Chérrez, D Cárdenas… - Composite …, 2023 - Elsevier
The present paper demonstrates the feasibility of detecting and quantifying crack-type
damage features in rotating wind turbine blades by Operational Modal Analysis (OMA) …

[HTML][HTML] Analysis of vibration signals based on machine learning for crack detection in a low-power wind turbine

AH Rangel-Rodriguez, D Granados-Lieberman… - Entropy, 2023 - mdpi.com
Currently, renewable energies, including wind energy, have been experiencing significant
growth. Wind energy is transformed into electric energy through the use of wind turbines …

Simulation and experimental research on vibration response of microcracked compressor blades under variable working conditions

J Wang, T Guo, Z Wang, W Liu, T Yu, Y Zhang - Applied Acoustics, 2024 - Elsevier
Compressor blades play a crucial role in aero-engines, experiencing complex alternating
loads under variable working conditions (VWC). Resonance is inevitable under these …

Advancements in Machine Learning-Based Condition Monitoring for Crack Detection in Windmill Blades: A Comprehensive Review

K Ashwitha, MC Kiran, S Shetty, K Shahapurkar… - … Methods in Engineering, 2024 - Springer
Globally, the amount of wind turbines used to produce sustainable, renewable power is
always increasing. Achieving dependable and easily accessible performance requires …