[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 …

Recent progress on reliability analysis of offshore wind turbine support structures considering digital twin solutions

M Wang, C Wang, A Hnydiuk-Stefan, S Feng, I Atilla… - Ocean …, 2021 - Elsevier
Global wind energy has developed rapidly in recent years, and the offshore wind turbines
(OWTs) have been applied to much more applications. Because the support structure of an …

[HTML][HTML] Wind turbine gearbox reliability verification by multivariate Gaidai reliability method

O Gaidai, H Li, Y Cao, Z Liu, Y Zhu, J Sheng - Results in Engineering, 2024 - Elsevier
Reliability research is essential since WT (Wind turbines) are built to endure high wind and
wave-induced stresses. Novel multivariate and 2D (bivariate) reliability methods presented …

Reliability prediction of an offshore wind turbine gearbox

U Bhardwaj, AP Teixeira, CG Soares - Renewable Energy, 2019 - Elsevier
This paper estimates the failure rate of an offshore wind turbine gearbox based on the data
available for similar, known onshore wind turbine systems. The gearbox is one critical …

Digital twin-driven remaining useful life prediction for gear performance degradation: A review

B He, L Liu, D Zhang - Journal of Computing and …, 2021 - asmedigitalcollection.asme.org
As a transmission component, the gear has been obtained widespread attention. The
remaining useful life (RUL) prediction of gear is critical to the prognostics health …

Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains

FK Moghadam, GFS Rebouças, AR Nejad - Forschung im Ingenieurwesen, 2021 - Springer
This paper presents a multi-degree of freedom torsional model of drivetrain system as the
digital twin model for monitoring the remaining useful lifetime of the drivetrain components …

[HTML][HTML] Fault detection of offshore wind turbine drivetrains in different environmental conditions through optimal selection of vibration measurements

A Dibaj, Z Gao, AR Nejad - Renewable Energy, 2023 - Elsevier
In this study, a vibration-based fault detection method is proposed for offshore wind turbine
drivetrain based on the optimal selection of the acceleration measurements. The main aim is …

Aerodynamic and aeroelastic characteristics of flexible wind turbine blades under periodic unsteady inflows

Z Li, B Wen, X Dong, Z Peng, Y Qu, W Zhang - Journal of Wind Engineering …, 2020 - Elsevier
The aeroelastic coupling effect is playing an increasingly important role in the aerodynamic
and aeroelastic characteristics of wind turbine blades owing to the increasing size of modern …

On design, modelling, and analysis of a 10‐MW medium‐speed drivetrain for offshore wind turbines

S Wang, AR Nejad, T Moan - Wind Energy, 2020 - Wiley Online Library
The design of a medium‐speed drivetrain for the Technical University of Denmark (DTU) 10‐
MW reference offshore wind turbine is presented. A four‐point support drivetrain layout that …

Digital twin based virtual sensor for online fatigue damage monitoring in offshore wind turbine drivetrains

FC Mehlan, AR Nejad, Z Gao - Journal of …, 2022 - asmedigitalcollection.asme.org
In this article a virtual sensor for online load monitoring and subsequent remaining useful life
(RUL) assessment of wind turbine gearbox bearings is presented. Utilizing a Digital Twin …