A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis

H Badihi, Y Zhang, B Jiang, P Pillay… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

[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 …

Anomaly detection and fault analysis of wind turbine components based on deep learning network

H Zhao, H Liu, W Hu, X Yan - Renewable energy, 2018 - Elsevier
Continuous monitoring of wind turbine health using early fault detection methods can
improve turbine reliability and reduce maintenance costs before they reach a catastrophic …

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 …

Fault detection by an ensemble framework of Extreme Gradient Boosting (XGBoost) in the operation of offshore wind turbines

P Trizoglou, X Liu, Z Lin - Renewable Energy, 2021 - Elsevier
Offshore wind is a rapidly maturing renewable energy that has presented a large growth
over the last decade. This increase in offshore wind capacity has led to the need for more …

Condition monitoring and fault diagnosis of wind turbines based on structural break detection in SCADA data

PB Dao - Renewable Energy, 2022 - Elsevier
This paper presents a new approach–based on structural break detection in SCADA data–
for condition monitoring and fault diagnosis of wind turbines. Chow test–a commonly used …

Micromixers—a review

NT Nguyen, Z Wu - Journal of micromechanics and …, 2004 - iopscience.iop.org
This review reports the progress on the recent development of micromixers. The review first
presents the different micromixer types and designs. Micromixers in this review are …

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

PB Dao, WJ Staszewski, T Barszcz, T Uhl - Renewable Energy, 2018 - Elsevier
This paper presents a new methodology–based on cointegration analysis of Supervisory
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …

Deep learning method for fault detection of wind turbine converter

C Xiao, Z Liu, T Zhang, X Zhang - Applied Sciences, 2021 - mdpi.com
The converter is an important component in wind turbine power drive-train systems, and
usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of …

[HTML][HTML] Deep anomaly detection in horizontal axis wind turbines using graph convolutional autoencoders for multivariate time series

ES Miele, F Bonacina, A Corsini - Energy and AI, 2022 - Elsevier
Wind power is one of the fastest-growing renewable energy sectors instrumental in the
ongoing decarbonization process. However, wind turbines are subjected to a wide range of …