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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 JOAO PURUNCAJAS MAZA, 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:googlescopusEarly 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 JOAO PURUNCAJAS MAZA, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusEarly Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM
ArticleAbstract: To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costPalabras claves:Anomaly detection, condition monitoring, Condition-Based Maintenance, Fault diagnosis, Main bearing, One-Class Support Vector Machine, pbkp_redictive maintenance, SCADA data, Wind turbineAutores:Achicanoy W., Christian Tutivén Gálvez, Insuasty A., Lorena Campoverde-Vilela, Vidal Y.Fuentes:scopusMain 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 JOAO PURUNCAJAS MAZA, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusScada data-driven wind turbine main bearing fault prognosis based on one-class support vector machines
ArticleAbstract: This work proposes a fault prognosis methodology to predict the main bearing fault several months inPalabras claves:Fault prognosis, Main bearing, SCADA data, Wind turbineAutores:Christian Tutivén Gálvez, Insuasty A., Vidal Y.Fuentes:googlescopusWind 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 JOAO PURUNCAJAS MAZA, Christian Tutivén Gálvez, Marcelo Fajardo-Pruna, Vidal Y.Fuentes:googlescopusWind turbine main bearing fault prognosis based solely on scada data
ArticleAbstract: As stated by the European Academy of Wind Energy (EAWE), the wind industry has identified main beariPalabras claves:Fault prognosis, Main bearing, Normality Model, Real SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, BRYAN JOAO PURUNCAJAS MAZA, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopus