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 …

A survey on fog computing for the Internet of Things

P Bellavista, J Berrocal, A Corradi, SK Das… - Pervasive and mobile …, 2019 - Elsevier
Fog computing has emerged to support the requirements of IoT applications that could not
be met by today's solutions. Different initiatives have been presented to drive the …

[HTML][HTML] Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

M Martinez-Luengo, A Kolios, L Wang - Renewable and Sustainable …, 2016 - Elsevier
Offshore Wind has become the most profitable renewable energy source due to the
remarkable development it has experienced in Europe over the last decade. In this paper, a …

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 …

Structural health monitoring of an offshore wind turbine tower using iFEM methodology

M Li, A Kefal, E Oterkus, S Oterkus - Ocean Engineering, 2020 - Elsevier
With the increasing popularity of wind energy, offshore wind turbines (OWTs) are currently
experiencing rapid development. The tower is one of the most significant components of the …

On damage diagnosis for a wind turbine blade using pattern recognition

N Dervilis, M Choi, SG Taylor, RJ Barthorpe… - Journal of sound and …, 2014 - Elsevier
With the increased interest in implementation of wind turbine power plants in remote areas,
structural health monitoring (SHM) will be one of the key cards in the efficient establishment …

Damage detection in operational wind turbine blades using a new approach based on machine learning

K Chandrasekhar, N Stevanovic, EJ Cross, N Dervilis… - Renewable Energy, 2021 - Elsevier
The application of reliable structural health monitoring (SHM) technologies to operational
wind turbine blades is a challenging task, due to the uncertain nature of the environments …

Compressed sensing based on dictionary learning for extracting impulse components

X Chen, Z Du, J Li, X Li, H Zhang - Signal Processing, 2014 - Elsevier
It is essential to extract impulse components embedded in heavy background noise in
engineering applications. The methods based on wavelet have obtained huge success in …

Wind turbines and seismic hazard: a state‐of‐the‐art review

EI Katsanos, S Thöns, CΤ Georgakis - Wind Energy, 2016 - Wiley Online Library
Wind energy is a rapidly growing field of renewable energy, and as such, intensive scientific
and societal interest has been already attracted. Research on wind turbine structures has …