Mostrando 9 resultados de: 9
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International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(2)
Asian Journal of Control(1)
Energies(1)
Energy Science and Engineering(1)
Journal of Physics: Conference Series(1)
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: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: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:scopusDamage 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:scopusFault 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:scopusFault detection and isolation of pitch actuator faults in a floating wind turbine
Conference ObjectAbstract: In this work, the problem of detection and isolation of pitch actuator faults in wind turbines (WTs)Palabras claves:Fault Detection, Fault isolation, Interval observer, Residual signalAutores:Acho L., Christian Tutivén Gálvez, Rodellar J., Vidal Y.Fuentes:googlescopusHysteresis-Based Design of Dynamic Reference Trajectories to Avoid Saturation in Controlled Wind Turbines
ArticleAbstract: The main objective of this paper is to design a dynamic reference trajectory based on hysteresis toPalabras claves:avoid saturation, fault tolerant control, Hysteresis, super-twisting, Wind turbineAutores:Acho L., Christian Tutivén Gálvez, Rodellar J., Vidal Y.Fuentes:googlescopusWind turbine multi-fault detection and classification based on SCADA data
ArticleAbstract: Due to the increasing installation of wind turbines in remote locations, both onshore and offshore,Palabras claves:(Fatigue, Aerodynamics, Structures and Turbulence) FAST code, fault classification, Fault Detection, Fault diagnosis, Principal Component Analysis, SUPPORT VECTOR MACHINES, Wind turbineAutores:Christian Tutivén Gálvez, Pozo F., Vidal Y.Fuentes:googlescopusSCADA Data-Driven Wind Turbine Main Bearing Fault Prognosis Based on Principal Component Analysis
Conference ObjectAbstract: Condition monitoring for wind turbines is essential for the further development of wind farms. CurrePalabras claves:Autores:Benaláazar-Parra C., Christian Tutivén Gálvez, Lorena Campoverde, Vidal Y.Fuentes:googlescopus