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A 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:googlescopusConceptual 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 JOAO PURUNCAJAS MAZA, Christian Tutivén Gálvez, Encalada-Dávila , Vidal Y., William ÁlavaFuentes:googlescopusAcceleration-based fault-tolerant control design of offshore fixed wind turbines
ArticleAbstract: Wind turbines (WTs) are basically controlled by varying the generator load torque (with the so-callePalabras claves:fault-tolerant control, offshore wind energy, super-twisting, vibration mitigation, wind turbine controlAutores:Acho L., Christian Tutivén Gálvez, Rodellar J., Vidal Y.Fuentes:googlescopusActive fault tolerant control for pitch actuators failures tested in a hardware-in-the-loop simulation for wind turbine controllers
Conference ObjectAbstract: The number and complexity of control systems in wind turbines (WT) is expanding rapidly, and their dPalabras claves:discrete-time, disturbance compensator, Fast, Fault diagnosis, fault-tolerant-control, Hardware-in-the-LoopAutores:Acho L., Christian Tutivén Gálvez, Rodellar J., Vidal Y.Fuentes: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 JOAO PURUNCAJAS MAZA, 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 JOAO PURUNCAJAS MAZA, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopusEarly 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: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:googlescopus