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A review of machine learning techniques for wind turbine's fault detection, diagnosis, and prognosis
Wind turbines are becoming increasingly important in the generation of clean, renewable
energy worldwide. To ensure their dependable and accessible operation, advanced real …
energy worldwide. To ensure their dependable and accessible operation, advanced real …
Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning
Due to global efforts to reduce the rise in the average global temperature by replacing fossil
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …
Wind turbine database for intelligent operation and maintenance strategies
With the aim of hel** researchers to develop intelligent operation and maintenance
strategies, in this manuscript, an extensive 3-years Supervisory Control and Data Acquisition …
strategies, in this manuscript, an extensive 3-years Supervisory Control and Data Acquisition …
[HTML][HTML] Exploring quantum machine learning and feature reduction techniques for wind turbine pitch fault detection
Driven by the development of machine learning (ML) and deep learning techniques,
prognostics and health management (PHM) has become a key aspect of reliability …
prognostics and health management (PHM) has become a key aspect of reliability …
Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting
CY Lee, EDC Maceren - IET Energy Systems Integration, 2024 - Wiley Online Library
Wind energy is crucial in the global shift towards a sustainable energy system. Thus, this
research innovatively addresses the challenges in wind energy system fault classification …
research innovatively addresses the challenges in wind energy system fault classification …
[HTML][HTML] Detection of wind turbine failures through cross-information between neighbouring turbines
In this paper, the time variation of signals from several SCADA systems of geographically
closed turbines are analysed and compared. When operating correctly, they show a clear …
closed turbines are analysed and compared. When operating correctly, they show a clear …
[PDF][PDF] Dynamic Wind Turbines clustering according to SCADA signals shapes
P Marti-Puig, C Núñez-Vilaplana - 2024 - preprints.org
In this work, we explore the ability to dynamically group the Wind Turbine (WT) of a Wind
Farm (WF) based on the behaviour of some of their Supervisory Control And Data …
Farm (WF) based on the behaviour of some of their Supervisory Control And Data …