SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends
This paper reviews the recent advancement made in data-driven technologies based on
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …
Condition monitoring of wind turbine gearbox bearing based on deep learning model
J Fu, J Chu, P Guo, Z Chen - Ieee Access, 2019 - ieeexplore.ieee.org
Wind turbines condition monitoring and fault warning have important practical value for wind
farms to reduce maintenance costs and improve operation levels. Due to the increase in the …
farms to reduce maintenance costs and improve operation levels. Due to the increase in the …
A new hybrid fault detection method for wind turbine blades using recursive PCA and wavelet-based PDF
M Rezamand, M Kordestani, R Carriveau… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
This paper introduces a new condition monitoring approach for extracting fault signatures in
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …
A wind turbine fault classification model using broad learning system optimized by improved pelican optimization algorithm
W Tuerxun, C Xu, M Haderbieke, L Guo, Z Cheng - Machines, 2022 - mdpi.com
As a classification model, a broad learning system is widely used in wind turbine fault
diagnosis. However, the setting of hyperparameters for the models directly affects the …
diagnosis. However, the setting of hyperparameters for the models directly affects the …
SCADA data analysis methods for diagnosis of electrical faults to wind turbine generators
F Castellani, D Astolfi, F Natili - Applied Sciences, 2021 - mdpi.com
Featured Application Fault diagnosis of wind turbine generators. Abstract The electric
generator is estimated to be among the top three contributors to the failure rates and …
generator is estimated to be among the top three contributors to the failure rates and …
Wind turbine multi-fault detection and classification based on SCADA data
Due to the increasing installation of wind turbines in remote locations, both onshore and
offshore, advanced fault detection and classification strategies have become crucial to …
offshore, advanced fault detection and classification strategies have become crucial to …
Wind turbine fault detection using highly imbalanced real SCADA data
Wind power is cleaner and less expensive compared to other alternative sources, and it has
therefore become one of the most important energy sources worldwide. However …
therefore become one of the most important energy sources worldwide. However …
Incremental novelty identification from initially one-class learning to unknown abnormality classification
In industrial applications, different abnormal conditions of a machine or a machinery fleet
typically occur sequentially instead of becoming initially known. Therefore, one of the most …
typically occur sequentially instead of becoming initially known. Therefore, one of the most …
Fault diagnosis for wind turbines based on ReliefF and eXtreme gradient boosting
Z Wu, X Wang, B Jiang - Applied Sciences, 2020 - mdpi.com
Featured Application The algorithm described in this paper can be applied to the real-time
fault diagnosis of wind turbine. By using this algorithm, the fault type of wind turbine can be …
fault diagnosis of wind turbine. By using this algorithm, the fault type of wind turbine can be …