[HTML][HTML] Wind turbine drivetrains: state-of-the-art technologies and future development trends

AR Nejad, J Keller, Y Guo, S Sheng… - Wind Energy …, 2022 - wes.copernicus.org
This paper presents the state-of-the-art technologies and development trends of wind
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …

[HTML][HTML] Wind turbine gearbox condition monitoring through the sequential analysis of industrial SCADA and vibration data

F Castellani, F Natili, D Astolfi, Y Vidal - Energy Reports, 2024 - Elsevier
The operation & maintenance expenditure for a wind farm project can reach the impressive
share of 30% of the total costs. This matter of fact motivates the need for optimal operation & …

[HTML][HTML] Life extension of wind turbine drivetrains by means of SCADA data: case study of generator bearings in an onshore wind farm

K Tartt, AM Kazemi-Amiri, AR Nejad, J Carroll… - Results in …, 2024 - Elsevier
Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in
reducing downtime, optimising maintenance strategies, extending operational life and …

Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms

A Turnbull, J Carroll - Energies, 2021 - mdpi.com
Advancements in wind turbine condition monitoring systems over the last decade have
made it possible to optimise operational performance and reduce costs associated with …

A wind turbine vibration monitoring system for predictive maintenance based on machine learning methods developed under safely controlled laboratory conditions

DP Granados, MAO Ruiz, JM Acosta, SAG Lara… - Energies, 2023 - mdpi.com
Wind energy is one of the most relevant clean energies today, so wind turbines must have
good health and be reliable in operation. Current wind turbines have slender and elastic …

Unlocking the potential: A review of artificial intelligence applications in wind energy

S Dörterler, S Arslan, D Özdemir - Expert Systems, 2024 - Wiley Online Library
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …

Exploring spatio-temporal dynamics for enhanced wind turbine condition monitoring

Q Miao, D Wang, Z **a, C Xu, J Zhan, C Wu - Mechanical Systems and …, 2025 - Elsevier
Efficient wind power cluster management and sustainable industry development require an
optimized maintenance approach integrating condition monitoring. However, the intricate …

[PDF][PDF] A comparative analysis of genetic algorithm and moth flame optimization algorithm for multi-criteria design optimization of wind turbine generator bearing

P Bhattacharjee, RK Jana, S Bhattacharya - ADBU Journal of …, 2021 - core.ac.uk
As global climate change is affecting the meteorological conditions and instigating massive
social suffering, the emanation of greenhouse gases is necessitated to be restricted through …

Scalable wind turbine generator bearing fault prediction using machine learning: A case study

L Williams, C Phillips, S Sheng… - … on prognostics and …, 2020 - ieeexplore.ieee.org
Operation and maintenance (O&M) costs for wind turbines pose a risk to competitiveness
and asset owners. With machine-learning technologies and digitalization rapidly maturing …

Vibration Signature of Generator-Side Converter Faults for Wind Turbines

Y Shi, M Ren, Y Feng, Y Qiu - International Conference on Mechanical …, 2023 - Springer
Vibration monitoring is one of the mainstream techniques in wind turbine condition
monitoring systems, which has been used to diagnose mechanical faults of wind turbine …