Using SCADA data for wind turbine condition monitoring: A systematic literature review
Operation and maintenance (O&M) activities represent a significant share of the total
expenditure of a wind farm. Of these expenses, costs associated with unexpected failures …
expenditure of a wind farm. Of these expenses, costs associated with unexpected failures …
Fault diagnosis methods based on machine learning and its applications for wind turbines: A review
With the increase in the installed capacity of wind power systems, the fault diagnosis and
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …
Automatic identification of the number of clusters in hierarchical clustering
Hierarchical clustering is one of the most suitable tools to discover the underlying true
structure of a dataset in the case of unsupervised learning where the ground truth is …
structure of a dataset in the case of unsupervised learning where the ground truth is …
Which method to use? An assessment of data mining methods in Environmental Data Science
Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
An ensemble learning solution for predictive maintenance of wind turbines main bearing
A novel and innovative solution addressing wind turbines' main bearing failure predictions
using SCADA data is presented. This methodology enables to cut setup times and has more …
using SCADA data is presented. This methodology enables to cut setup times and has more …
Feature selection algorithms for wind turbine failure prediction
It is well known that each year the wind sector has profit losses due to wind turbine failures
and operation and maintenance costs. Therefore, operations related to these actions are …
and operation and maintenance costs. Therefore, operations related to these actions are …
A context-aware oil debris-based health indicator for wind turbine gearbox condition monitoring
K Lopez de Calle, S Ferreiro, C Roldán-Paraponiaris… - Energies, 2019 - mdpi.com
One of the greatest challenges of optimising the correct operation of wind turbines is
detecting the health status of their core components, such as gearboxes in particular …
detecting the health status of their core components, such as gearboxes in particular …
Comparison of wind turbine gearbox vibration analysis algorithms based on feature extraction and classification
Health state assessment of wind turbine components has become a vital aspect of wind farm
operations in order to reduce maintenance costs. The gearbox is one of the most costly …
operations in order to reduce maintenance costs. The gearbox is one of the most costly …
[HTML][HTML] Wind turbine fault detection based on the transformer model using SCADA data
J Maldonado-Correa, J Torres-Cabrera… - Engineering Failure …, 2024 - Elsevier
The growth of installed wind power worldwide and its significant contribution to the energy
market is mainly due to the evolution of wind turbines (WTs) and their ability to withstand a …
market is mainly due to the evolution of wind turbines (WTs) and their ability to withstand a …
Bootstrap–cure: A novel clustering approach for sensor data—an application to 3d printing industry
The agenda of Industry 4.0 highlights smart manufacturing by making machines smart
enough to make data-driven decisions. Large-scale 3D printers, being one of the important …
enough to make data-driven decisions. Large-scale 3D printers, being one of the important …