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Renewable Energy and Power Quality Journal(3)
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(1)
Fault Prognosis for Wind Turbines' Main Bearing based on SCADA data
Conference ObjectAbstract: The rapid growth of large-scale wind turbines (WT) has changed the requirements in terms of operatioPalabras claves:Convolutional neural network, Fault prognosis, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:scopusEarly Detection of Main Bearing Damage in Wind Turbines
ArticleAbstract: According to the European Wind Energy Academy (EAWE), the wind industry has recognized that main beaPalabras claves:Fault Detection, GRU neural networks, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, 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: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