[HTML][HTML] Machine learning methods for wind turbine condition monitoring: A review
This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …
used for condition monitoring in wind turbines (eg blade fault detection or generator …
A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
Wind turbine gearbox anomaly detection based on adaptive threshold and twin support vector machines
Data-driven condition monitoring reduces downtime of wind turbines and increases
reliability. Wind turbine operation and maintenance (O&M) cost is a significant factor that …
reliability. Wind turbine operation and maintenance (O&M) cost is a significant factor that …
Deep Learning for fault detection in wind turbines
G Helbing, M Ritter - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Condition monitoring in wind turbines aims at detecting incipient faults at an early stage to
improve maintenance. Artificial neural networks are a tool from machine learning that is …
improve maintenance. Artificial neural networks are a tool from machine learning that is …
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 …
A feature extraction and machine learning framework for bearing fault diagnosis
Wind power generation has been widely adopted due to its renewable nature and
decreasing capital cost per kW. However, existing equipment ages rapidly, leading to higher …
decreasing capital cost per kW. However, existing equipment ages rapidly, leading to higher …
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 …
Early fault detection in the main bearing of wind turbines based on Gated Recurrent Unit (GRU) neural networks and SCADA data
Á Encalada-Dávila, L Moyón, C Tutivén… - IEEE/ASME …, 2022 - ieeexplore.ieee.org
Failures in the main bearings of wind turbines are critical in terms of downtime and
replacement cost. Early diagnosis of their faults would lower the levelized cost of wind …
replacement cost. Early diagnosis of their faults would lower the levelized cost of wind …
Wind turbine main bearing fault prognosis based solely on scada data
As stated by the European Academy of Wind Energy (EAWE), the wind industry has
identified main bearing failures as a critical issue in terms of increasing wind turbine …
identified main bearing failures as a critical issue in terms of increasing wind turbine …
A hybrid 3DSE-CNN-2DLSTM model for compound fault detection of wind turbines
T Wang, L Yin - Expert Systems with Applications, 2024 - Elsevier
In recent years, intelligent fault detection methods have achieved dramatic results for wind
power generation. However, a majority of the available intelligent detected methods can …
power generation. However, a majority of the available intelligent detected methods can …