LEVERAGING GENERATIVE ADVERSARIAL NETWORKS FOR DATA AUGMENTATION TO IMPROVE FAULT DETECTION IN WIND TURBINES WITH IMBALANCED DATA

Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data

In the realm of modern power systems, wind turbines (WTs) have gained significant environmental advantages, making them pivotal in the expanding landscape of wind power generation.The paramount task of ensuring the effective monitoring and fault classification of WTs is indispensable for the stability of wind farm systems.Nevertheless, a formidable

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Magnetoencephalography in stroke recovery and rehabilitation

Magnetoencephalography (MEG) is a non-invasive neurophysiological technique used to study the cerebral cortex.Currently, MEG is mainly used clinically to localize epileptic foci and eloquent brain areas in order to avoid damage during neurosurgery.MEG might, however, also be of help in monitoring Heatsink Compounds stroke recovery and rehabilitatio

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An Experimental Study and a Numerical Simulation of the Turbulent Flow under the Vortex Finder of a Cyclone Separator

An experimental study and a numerical simulation are presented concerning the three dimensional HERB RUB turbulent flow of air in a cyclone separator in the region underneath the vortex finder.The computations are carried out using the Fluent CFD code.The turbulence effects on the mean flow are taken into account using the standard k- model and the

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