A comprehensive review of artificial intelligence and wind energy

FP Garcia Marquez, A Peinado Gonzalo - Archives of Computational …, 2022 - Springer
Support of artificial intelligence, renewable energy and sustainability is currently increasing
through the main policies of developed countries, eg, the White Paper of the European …

[HTML][HTML] Review of research on intelligent diagnosis of oil transfer pump malfunction

L Dong, Q **ao, Y Jia, T Fang - Petroleum, 2023 - Elsevier
Oil transfer pump is the key dynamic equipment in the process of oil and gas gathering and
transportation, and its working reliability directly affects the safety of oil and gas storage and …

Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines

T de Oliveira Nogueira, GBA Palacio, FD Braga… - Energy, 2022 - Elsevier
This work innovates by proposing the combination of DFA with the SVM and RBFK methods,
two supervised algorithms that use the kernel-method, for the imbalance level classification …

Investigation on aerodynamic noise for leading edge erosion of wind turbine blade

H Wang, B Chen - Journal of Wind Engineering and Industrial …, 2023 - Elsevier
Wind turbine blade is extremely prone to leading edge erosion under complicated operation
conditions. This decreases the aerodynamic performance and power generation efficiency …

Detection of magnitude and position of rotor aerodynamic imbalance of wind turbines using Convolutional Neural Network

Z **ng, M Chen, J Cui, Z Chen, J Xu - Renewable Energy, 2022 - Elsevier
Rotor imbalances present a serious problem for wind turbines. In particular, for offshore wind
turbines, aerodynamic imbalance can have a severe impact because of the large rotor size …

Fault diagnosis for wind turbine gearboxes by using deep enhanced fusion network

Z Pu, C Li, S Zhang, Y Bai - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The gearbox will directly affect the safety and reliability of the wind turbine, whose failure
leads to low processing accuracy and certain economic losses. To address this issue, a …

Threshing cylinder unbalance detection using a signal extraction method based on parameter-adaptive variational mode decomposition

Z Yu, Y Li, X Du, Y Liu - Biosystems Engineering, 2024 - Elsevier
The threshing cylinder will wear and deform during the threshing process, causing dynamic
balance problems. The combine harvester has multiple vibration excitation sources and a …

Research on Wind Turbine Unbalance Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network

Z Li, Y Gao - IEEE Access, 2024 - ieeexplore.ieee.org
Rotor imbalance in wind turbines presents a serious problem. Particularly for offshore wind
turbines, aerodynamic imbalance could have a severe impact because of the large size of …

[HTML][HTML] Gearbox pump failure prognostics in offshore wind turbine by an integrated data-driven model

W Zhang, J Vatn, A Rasheed - Applied Energy, 2025 - Elsevier
Offshore wind turbines face substantial challenges in operation and maintenance due to the
harsh marine environment and remote locations. Predictive maintenance, encompassing …

Condition monitoring of wind turbines based on analysis of temperature-related parameters in supervisory control and data acquisition data

X Wang, Q Zhao, X Yang… - Measurement and …, 2020 - journals.sagepub.com
In order to conduct a further in-depth exploration of the role of temperature-related
parameters in the condition monitoring of wind turbines, this paper proposes a method to …