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Energies(2)
2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings(1)
9th European Workshop on Structural Health Monitoring, EWSHM 2018(1)
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021(1)
Proceedings of the 2022 5th International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2022(1)
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Active 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: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:scopusDevelopment 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:scopusMulti-fault diagnosis for wind turbines based on principal component analysis and support vector machines
Conference ObjectAbstract: The reliability requirements of wind turbine (WT) components have increased significantly in recentPalabras claves:Autores:Christian Tutivén Gálvez, Pozo F., 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: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:googlescopus