[HTML][HTML] A state-of-the-art review on wind power converter fault diagnosis

J Liang, K Zhang, A Al-Durra, SM Muyeen, D Zhou - Energy Reports, 2022 - Elsevier
The rapid expansion of installed wind energy capacity and the continuous development of
wind turbine technology has drawn attention to operation and maintenance issues. In order …

[HTML][HTML] A review on wind turbines gearbox fault diagnosis methods

H Gu, WY Liu, QW Gao, Y Zhang - Journal of Vibroengineering, 2021 - extrica.com
As an renewable and clean energy of the world, wind energy has gained more and more
attention and its fault diagnosis becomes more and more important. The gearbox, as the …

Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence

A Bakdi, W Bounoua, A Guichi, S Mekhilef - International Journal of …, 2021 - Elsevier
This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …

A data-mining approach for wind turbine fault detection based on SCADA data analysis using artificial neural networks

A Santolamazza, D Dadi, V Introna - Energies, 2021 - mdpi.com
Wind energy has shown significant growth in terms of installed power in the last decade.
However, one of the most critical problems for a wind farm is represented by Operation and …

A new robust control scheme: Application for MPP tracking of a PMSG-based variable-speed wind turbine

A Dali, S Abdelmalek, A Bakdi, M Bettayeb - Renewable Energy, 2021 - Elsevier
This paper proposes a novel Improved Maximum Power Point Tracking (IMPPT) algorithm to
extract the maximum available power from a direct-drive Permanent-Magnet Synchronous …

[HTML][HTML] Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach

Y Liu, R Ferrari, P Wu, X Jiang, S Li… - Renewable Energy, 2021 - Elsevier
Abstract Floating Offshore Wind Turbines (FOWTs) operate in the harsh marine environment
with limited accessibility and maintainability. Not only failures are more likely to occur than in …

Design and experimental implementation of a new robust observer-based nonlinear controller for DC-DC buck converters

S Abdelmalek, A Dali, A Bakdi, M Bettayeb - Energy, 2020 - Elsevier
DC-DC buck converters are extensively used in many industrial and end-user applications
where significant attention highlights their power-conversion efficiency and robustness to …

[HTML][HTML] Small-scale wind turbine control in high-speed wind conditions: A review

M Barzegar-Kalashani, M Seyedmahmoudian… - Sustainable Energy …, 2023 - Elsevier
The operation of small-scale wind turbines in high-speed wind conditions continues to pose
a number of problems to this industry, turbine owners, and communities, over which this …

[HTML][HTML] Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations

A Fernandez-Navamuel, D Pardo, F Magalhães… - … Systems and Signal …, 2023 - Elsevier
This work proposes a novel supervised learning approach to identify damage in operating
bridge structures. We propose a method to introduce the effect of environmental and …

Real-time detection of wind power abnormal data based on semi-supervised learning Robust Random Cut Forest

M Dong, M Sun, D Song, L Huang, J Yang, YH Joo - Energy, 2022 - Elsevier
Due to extreme weather or wind turbine (WT) fault, WTs often collects abnormal data, which
often interferes with the real-time control strategy of WT. To detect the abnormal data in real …