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Early Fault Detection in the Main Bearing of Wind Turbines Based on Gated Recurrent Unit (GRU) Neural Networks and SCADA Data
ArticleAbstract: Failures in the main bearings of wind turbines are critical in terms of downtime and replacement cosPalabras claves:Anomaly detection, Early fault detection, gated recurrent unit (GRU) neural network (NN), Main bearing, supervisory control and data acquisition (SCADA) data, wind turbine (WT)Autores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusMain Bearing Fault Prognosis in Wind Turbines based on Gated Recurrent Unit Neural Networks
ArticleAbstract: The transition from onshore to offshore wind farms is an imminent fact in the future. It supposes toPalabras claves:Fault prognosis, GRU neural networks, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusSiamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms
ArticleAbstract: Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundationsPalabras claves:Convolutional neural network, damage detection, Damage diagnosis, Data-driven, Jacket structure, Offshore fixed wind turbine, Siamese neural network, Vibration-based SHMAutores:Bryan Puruncajas, Christian Tutivén Gálvez, Joseph Baquerizo, Sampietro J., Vidal Y.Fuentes:scopus