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Anomaly-based fault detection in wind turbine main bearings
ArticleAbstract: Renewable energy is a clean and inexhaustible source of energy, so every year interest in the studyPalabras claves:Autores:Christian Tutivén Gálvez, Lorena Campoverde-Vilela, María Del Cisne Feijóo, Sampietro J., Vidal Y.Fuentes:scopusA fault detection method for pitch actuators faults in wind turbines
ArticleAbstract: The paper presents a model-based fault detection method for pitch actuators faults using the normaliPalabras claves:Fast, Fault Detection, Hardware In the Loop, Parameter estimation, Wind turbineAutores:Acho L., Christian Tutivén Gálvez, Rodellar J., Vidal Y.Fuentes:googlescopusDetecting 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:googlescopusDetection of Jacket Offshore Wind Turbine Structural Damage using an 1D-Convolutional Neural Network with a Support Vector Machine Layer
Conference ObjectAbstract: Because offshore wind turbines, particularly their foundations, operate in hostile environments, impPalabras claves:Autores:Benalcázar C., Christian Tutivén Gálvez, Sueanny Moreno, Vidal Y.Fuentes:googlescopusDevelopment of a Wind Turbine Digital-Twin for failure prognosis: First Results
Conference ObjectAbstract: Wind turbines are increasing their generation energy capacity, which requires an increase in reliabiPalabras claves:Actual SCADA data, DIGITAL TWIN, Fault prognosis, Neural networks, Wind turbineAutores:Bolivar Nunez-Montoya, Carlos Naranjo-Riofrio, Christian Tutivén Gálvez, López-Estrada L., Marcelo Fajardo-Pruna, Vidal Y.Fuentes:scopusConceptual Design of a Vibration Test System Based on a Wave Generator Channel for Lab-Scale Offshore Wind Turbine Jacket Foundations
ArticleAbstract: Structural health monitoring (SHM) systems are designed to continually monitor the health of structuPalabras claves:Accelerometer, DAQ system, vibration system, wavemaker channel, Wind turbineAutores:Ángel Encalada-Dávila, Christian Tutivén Gálvez, Efrain Teran, Pardo L., Vidal Y.Fuentes:googlescopusConvolutional 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 in an Offshore Experimental Wind Turbine Foundation based on Autoencoder Deep Neural Networks
Conference ObjectAbstract: The rapid growth of the energy capacity generated by wind turbines (WT), as well as their size, creaPalabras claves:ADNN, damage detection, dynamic response, SHM, vibrational response, wind turbinesAutores:Christian Tutivén Gálvez, María del Cisne Feijóo, Vidal Y., Yovana ZambranoFuentes:scopusDamage 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:googlescopus