Mostrando 10 resultados de: 16
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International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(3)
Journal of Physics: Conference Series(3)
Renewable Energy and Power Quality Journal(2)
9th European Workshop on Structural Health Monitoring, EWSHM 2018(1)
Energies(1)
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Física aplicada(16)
Ciencias de la computación(2)
Otras ramas de la ingeniería(2)
Factores que afectan al comportamiento social(1)
Instrumentos de precisión y otros dispositivos(1)
Detection 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: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: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: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: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: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:googlescopusUnsupervised damage detection for offshore jacket wind turbine foundations based on an autoencoder neural network
ArticleAbstract: Structural health monitoring for offshore wind turbine foundations is paramount to the further develPalabras claves:Autoencoder, Damage diagnosis, Offshore founda-tion, Offshore wind turbine, Structural Health MonitoringAutores:Christian Tutivén Gálvez, María Del Cisne Feijóo, Vidal Y., Yovana ZambranoFuentes:googlescopus