Grid integrated renewable DG systems: A review of power quality challenges and state‐of‐the‐art mitigation techniques

M Bajaj, AK Singh - International Journal of Energy Research, 2020 - Wiley Online Library
Increased energy demands due to rapid industrialization, environmental concerns with fossil
fuel–based generation, diminishing fossil energy resources, transmission network …

[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 …

Multiscale convolutional neural networks for fault diagnosis of wind turbine gearbox

G Jiang, H He, J Yan, P **e - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
This paper proposes a novel intelligent fault diagnosis method to automatically identify
different health conditions of wind turbine (WT) gearbox. Unlike traditional approaches …

Gearbox condition monitoring in wind turbines: A review

JP Salameh, S Cauet, E Etien, A Sakout… - Mechanical Systems and …, 2018 - Elsevier
Wind turbine technology is experiencing rapid growth with respect to size, market share, and
technological design. Operational and maintenance cost directly determine whether the …

Using SCADA data for wind turbine condition monitoring–a review

J Tautz‐Weinert, SJ Watson - IET Renewable Power …, 2017 - Wiley Online Library
The ever increasing size of wind turbines and the move to build them offshore have
accelerated the need for optimised maintenance strategies in order to reduce operating …

[HTML][HTML] On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines

PB Dao - Applied energy, 2022 - Elsevier
In this study, the Wilcoxon rank sum test, a nonparametric statistical test method in the field
of statistics, has been exploited for the operation state monitoring and automated fault …

Wind turbine gearbox failure identification with deep neural networks

L Wang, Z Zhang, H Long, J Xu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The feasibility of monitoring the health of wind turbine (WT) gearboxes based on the
lubricant pressure data in the supervisory control and data acquisition system is investigated …

Critical wind turbine components prognostics: A comprehensive review

M Rezamand, M Kordestani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

A review of research on wind turbine bearings' failure analysis and fault diagnosis

H Peng, H Zhang, Y Fan, L Shangguan, Y Yang - Lubricants, 2022 - mdpi.com
Bearings are crucial components that decide whether or not a wind turbine can work
smoothly and that have a significant impact on the transmission efficiency and stability of the …

Stacked multilevel-denoising autoencoders: A new representation learning approach for wind turbine gearbox fault diagnosis

G Jiang, H He, P **e, Y Tang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Currently, vibration analysis has been widely considered as an effective way to fulfill the fault
diagnosis task of gearboxes in wind turbines (WTs). However, vibration signals are usually …