Wind turbine main bearing condition monitoring via convolutional autoencoder neural networks

Conference Object

Abstract: The rapid growth of the energy capacity generated by wind turbines, as well as their size, creates n

Palabras claves:

Convolutional autoencoder, Fault prognosis, Main bearing, Neural networks, Normality Model, Real SCADA data, Wind turbine

Autores:

Angel Encalada D.Avila Escuela, Benalcázar-Parra C., Bryan Puruncajas, Christian Tutivén Gálvez, Marcelo Fajardo-Pruna, Vidal Y.

Fuentes:

google

scopus