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Convolutional neural network for wind turbine failure classification based on scada data
ArticleAbstract: As a renewable energy source and an alternative to fossil fuels, the wind power industry is growingPalabras claves:Convolutional neural network, Fast, Fault detection and classification, SCADA data, Wind turbineAutores:Bryan Puruncajas, Christian Tutivén Gálvez, Encalada-Dávila , Vidal Y., William ÁlavaFuentes:googlescopusDamage Detection on Offshore Wind Turbine Jacket Foundations Based on an AutoEncoder
Conference ObjectAbstract: This work addresses the problem of damage detection on offshore wind turbine jacket-type foundationsPalabras claves:Autores:Ángel Encalada-Dávila, Benalcázar-Parra C., Bryan Puruncajas, Christian Tutivén Gálvez, Felipe González, Vidal Y.Fuentes:googlescopusDamage detection and diagnosis for offshore wind foundations
Conference ObjectAbstract: Structural health monitoring for wind turbines (WT) in remote locations, as offshore, is crucial (PrPalabras claves:Convolutional neural network, Data-driven, Offshore wind turbine, Structural Health Monitoring, Structural vibrationAutores:Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopusFault 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 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:googlescopusOffshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network
Conference ObjectAbstract: This paper states a methodology to detect damage in the support structure of offshore wind turbines.Palabras claves:Convolutional neural network, Damage classification, damage detection, 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: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 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:scopusVibration-response-only structural health monitoring for offshore wind turbine jacket foundations via convolutional neural networks
ArticleAbstract: This work deals with structural health monitoring for jacket-type foundations of offshore wind turbiPalabras claves:Convolutional neural network, damage detection, Damage identification, Jacket, Offshore wind turbine foundation, Signal-to-image conversion, Structural Health MonitoringAutores:Bryan Puruncajas, Christian Tutivén Gálvez, 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 Puruncajas, Christian Tutivén Gálvez, Marcelo Fajardo-Pruna, Vidal Y.Fuentes:googlescopus