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Wind turbine main bearing failure prediction using a hybrid neural network
(Institute of Physics (IOP), 2022-05-01)
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Energy is necessary for economic growth and improved well-being, but it poses a great challenge to be generated without increasing costs and avoiding pollution. A viable option is wind energy because it is a clean and ...
Artificial intelligence for wind turbine condition monitoring
(2023-02-07)
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Article.
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Early detection of main bearing damage in wind turbines
(2022-09)
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According to the European Wind Energy Academy (EAWE), the wind industry has recognized that main bearing failures are a major concern in order to increase the reliability and availability of wind turbines. This is due to ...
Siamese neural networks for damage detection and diagnosis of jacket-type offshore wind turbine platforms
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-01)
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Article.
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Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions ...
Detection of jacket offshore wind turbine structural damage using an 1D-convolutional neural network with a support vector machine layer
(Institute of Physics (IOP), 2022-05-01)
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Because offshore wind turbines, particularly their foundations, operate in hostile environments, implementing a structural health monitoring system is one of the best ways to monitor their condition, schedule maintenance, ...
Main bearing fault prognosis in wind turbines based on gated recurrent unit neural networks
(2022-09)
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The transition from onshore to offshore wind farms is an imminent fact in the future. It supposes to face hard challenges like difficulties to carry out offshore maintenance operations due to increased downtime (because ...
Editorial: Women in science: energy research 2023
(2023-11-07)
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SCADA data-driven wind turbine main bearing fault prognosis based on principal component analysis
(Institute of Physics (IOP), 2022-05-01)
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Condition monitoring for wind turbines is essential for the further development of wind farms. Currently, many of the works are focused on the installation of new sensors to predict turbine failures, which raises the cost ...
Early fault detection in the main bearing of wind turbines based on Gated Recurrent Unit (GRU) neural networks and SCADA data
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
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Article.
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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 energy. Thus, this work discusses a gated recurrent ...
Early fault diagnosis strategy for WT main bearings based on SCADA data and one-class SVM
(2022-06-16)
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To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring. ...