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Detecting bearing failures in wind energy parks: A main bearing early damage detection method using SCADA data and a convolutional autoencoder
ArticleAbstract: Wind energy maintenance and operation costs can total millions of dollars each year in an average inPalabras claves:Autoencoder, Fault Detection, Wind turbineAutores:Ángel Encalada-Dávila, Benalcázar-Parra C., Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopusWind turbine multi-fault detection based on scada data via an autoencoder
ArticleAbstract: Nowadays, wind turbine fault detection strategies are settled as a meaningful pipeline to achieve rePalabras claves:Autoencoder, Multi-Fault Detection, Normality Model, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopus