A survey of artificial neural network in wind energy systems

AP Marugán, FPG Márquez, JMP Perez… - Applied energy, 2018 - Elsevier
Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …

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 review of non-destructive testing on wind turbines blades

FPG Márquez, AMP Chacón - Renewable Energy, 2020 - Elsevier
Wind energy, with an exponential growth in the last years, is nowadays one of the most
important renewable energy sources. Modern wind turbines are bigger and complex to …

Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure

ÁH Herraiz, AP Marugán, FPG Márquez - Renewable Energy, 2020 - Elsevier
The size and the complexity of photovoltaic solar power plants are increasing, and it
requires an advanced and robust condition monitoring systems for ensuring their reliability …

A small-sample wind turbine fault detection method with synthetic fault data using generative adversarial nets

J Liu, F Qu, X Hong, H Zhang - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The limited fault information caused by small fault data samples is a major problem in wind
turbine (WT) fault detection. This paper proposes a small-sample WT fault detection method …

A review of integrating ice detection and mitigation for wind turbine blades

E Madi, K Pope, W Huang, T Iqbal - Renewable and Sustainable Energy …, 2019 - Elsevier
The capacity of installed wind power is growing rapidly in cold climate regions; however,
turbine blades are susceptible to ice accumulation. The aerodynamic properties of turbine …

A comprehensive analysis of wind turbine blade damage

DA Katsaprakakis, N Papadakis, I Ntintakis - Energies, 2021 - mdpi.com
The scope of this article is to review the potential causes that can lead to wind turbine blade
failures, assess their significance to a turbine's performance and secure operation and …

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 …

Maintenance management based on machine learning and nonlinear features in wind turbines

AA Jiménez, L Zhang, CQG Muñoz, FPG Márquez - Renewable Energy, 2020 - Elsevier
Delamination is a common problem in wind turbine blades, creating stress concentration
areas that can lead to the partial or complete rupture of the blade. This paper presents a …

Infrared thermography-based condition monitoring of solar photovoltaic systems: A mini review of recent advances

AW Kandeal, MR Elkadeem, AK Thakur, GB Abdelaziz… - Solar Energy, 2021 - Elsevier
Globally, solar photovoltaic (PV) plants have been in continuous increase, attracting
researchers and governments' interest, and PV markets witness high competition. That …