Floating offshore wind turbines: Current status and future prospects

M Barooni, T Ashuri, D Velioglu Sogut, S Wood… - Energies, 2022 - mdpi.com
Offshore wind energy is a sustainable renewable energy source that is acquired by
harnessing the force of the wind offshore, where the absence of obstructions allows the wind …

Deep learning for structural health monitoring: Data, algorithms, applications, challenges, and trends

J Jia, Y Li - Sensors, 2023 - mdpi.com
Environmental effects may lead to cracking, stiffness loss, brace damage, and other
damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) …

Acoustic-signal-based damage detection of wind turbine blades—A review

S Ding, C Yang, S Zhang - Sensors, 2023 - mdpi.com
Monitoring and maintaining the health of wind turbine blades has long been one of the
challenges facing the global wind energy industry. Detecting damage to a wind turbine …

A novel CNN-LSTM hybrid model for prediction of electro-mechanical impedance signal based bond strength monitoring

L Parida, S Moharana, VM Ferreira, SK Giri… - Sensors, 2022 - mdpi.com
The recent application of deep learning for structural health monitoring systems for damage
detection has potential for improvised structure performance and maintenance for long term …

Structural damage detection of floating offshore wind turbine blades based on Conv1d-GRU-MHA network

F Song, Y Han, AW Heath, M Hou - Engineering Failure Analysis, 2024 - Elsevier
Due to the global commitment to mitigate climate warming by replacing fossil fuels, the
global wind power installed capacity continues to increase. The reliability of wind turbines is …

Noise effects analysis on subspace-based damage detection with neural networks

MM Rosso, A Aloisio, J Melchiorre, F Huo, GC Marano - Structures, 2023 - Elsevier
Structural health monitoring (SHM) is nowadays a significant and topical issue in the civil
engineering field, whose first-level task is the damage detection job. Recent advances in …

A single-sensor method for structural damage localization in wind turbine blades: Laboratory assessment on a blade segment

Z Zhao, NZ Chen - Mechanical Systems and Signal Processing, 2024 - Elsevier
An acoustic emission (AE) and graph convolutional network (GCN) based single-sensor
method for structural damage localization in wind turbine blades is proposed in this paper …

Nonlinear vortex-induced vibration and its mitigation of wind turbines in parked conditions

C Chen, J Zhou, Z Ruan, F Li - Applied Mathematical Modelling, 2025 - Elsevier
This study aims to provide a comprehensive exploration of the nonlinear vortex-induced
vibration (VIV) characteristics of the wind turbines in parked conditions. Considering the …

Mechanical, Electrical, and Tensile Self-Sensing Properties of Ultra-High-Performance Concrete Enhanced with Sugarcane Bagasse Ash

J Lian, Y Wang, T Fu, SM Easa, Y Zhou, H Li - Materials, 2023 - mdpi.com
Although sugarcane bagasse ash (SCBA) possesses favorable cementitious properties,
previous research has primarily focused on improving the mechanical performance of …

Method using singular value decomposition and whale optimization algorithm to quantitatively detect multiple damages in turbine blades

H Jiang, Y Jiang, J Xiang - Structural Health Monitoring, 2024 - journals.sagepub.com
Renewable energy has increased in recent years with a consequential increase in
equipment maintenance. Maintenance costs can be reduced by structural health monitoring …