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Development of a Wind Turbine Digital-Twin for failure prognosis: First Results
Conference ObjectAbstract: Wind turbines are increasing their generation energy capacity, which requires an increase in reliabiPalabras claves:Actual SCADA data, DIGITAL TWIN, Fault prognosis, Neural networks, Wind turbineAutores:Bolivar Nunez-Montoya, Carlos Naranjo-Riofrio, Christian Tutivén Gálvez, López-Estrada L., Marcelo Fajardo-Pruna, Vidal Y.Fuentes:scopusWind turbine main bearing condition monitoring via convolutional autoencoder neural networks
Conference ObjectAbstract: The rapid growth of the energy capacity generated by wind turbines, as well as their size, creates nPalabras claves:Convolutional autoencoder, Fault prognosis, Main bearing, Neural networks, Normality Model, Real SCADA data, Wind turbineAutores:Angel Encalada D.Avila Escuela, Benalcázar-Parra C., Bryan Puruncajas, Christian Tutivén Gálvez, Marcelo Fajardo-Pruna, Vidal Y.Fuentes:googlescopus