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 …

Review of the typical damage and damage-detection methods of large wind turbine blades

W Wang, Y Xue, C He, Y Zhao - Energies, 2022 - mdpi.com
With global warming and the depletion of fossil energy sources, renewable energy is
gradually replacing non-renewable energy as the main energy in the future. As one of the …

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] Risk-based maintenance strategy selection for wind turbine composite blades

JC Lopez, A Kolios - Energy Reports, 2022 - Elsevier
Blades are one of the most important components, in terms of capital and operational costs,
of wind turbines. In contrast with some other elements of the turbine, the knowledge …

Vibration‐based monitoring of a small‐scale wind turbine blade under varying climate conditions. Part I: An experimental benchmark

Y Ou, KE Tatsis, VK Dertimanis… - … Control and Health …, 2021 - Wiley Online Library
Structural health monitoring (SHM) has been increasingly exploited in recent years as a
valuable tool for assessing performance throughout the life cycle of structural systems, as …

Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition

S Eftekhar Azam, A Rageh… - Structural Control and …, 2019 - Wiley Online Library
A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …

Damage detection of wind turbine blades by Bayesian multivariate cointegration

M Xu, J Li, S Wang, N Yang, H Hao - Ocean Engineering, 2022 - Elsevier
Abstract Changes in the vibration responses of wind turbine blades (WTBs) can be used to
detect the presence of damages. However, constantly changing environmental …

Simulation-based anomaly detection and damage localization: an application to structural health monitoring

C Bigoni, JS Hesthaven - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
We propose a simulation-based decision strategy for the proactive maintenance of complex
structures with a particular application to structural health monitoring (SHM). The strategy is …

A comprehensive review of wind turbine modeling for addressing energy challenges in Nigeria and South Africa in the 4IR Context

T Babawurun, DRE Ewim, TO Scott… - The Journal of …, 2023 - periodicos.ufv.br
Wind energy is a promising renewable energy source that can contribute to addressing the
energy challenges faced by countries such as Nigeria and South Africa. Wind turbine …

A new open‐database benchmark structure for vibration‐based Structural Health Monitoring

S Wernitz, B Hofmeister, C Jonscher… - … Control and Health …, 2022 - Wiley Online Library
Abstract Vibration‐based Structural Health Monitoring is an ongoing field of research in
many engineering disciplines. As for civil engineering, plenty of experimental structures …