Mostrando 5 resultados de: 5
Filtros aplicados
Publisher
Energy Science and Engineering(1)
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021(1)
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(1)
Journal of Physics: Conference Series(1)
Structural Health Monitoring 2021: Enabling Next-Generation SHM for Cyber-Physical Systems - Proceedings of the 13th International Workshop on Structural Health Monitoring, IWSHM 2021(1)
Área temáticas
Física aplicada(5)
Métodos informáticos especiales(3)
Ciencias de la computación(1)
Instrumentos de precisión y otros dispositivos(1)
Otras ramas de la ingeniería(1)
Área de conocimiento
Aprendizaje automático(4)
Ingeniería mecánica(2)
Ciencias de la computación(1)
Energía renovable(1)
Red neuronal artificial(1)
Origen
google(3)
Detecting 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: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 Puruncajas, Christian Tutivén Gálvez, Felipe González, Vidal Y.Fuentes:googlescopusWind Turbine Main Bearing Failure Pbkp_rediction using a Hybrid Neural Network
Conference ObjectAbstract: Energy is necessary for economic growth and improved well-being, but it poses a great challenge to bPalabras claves:Autores:Benalcázar-Parra C., Christian Tutivén Gálvez, Eduardo Ortiz-Holguin, Karen Bermúdez, Vidal Y.Fuentes:scopusWind Turbine Multi-Fault Detection and Classification using Machine Learning Techniques
Conference ObjectAbstract: In the last years, there has been an increase in the number of places where wind power is exploitedPalabras claves:data augmentation, Multi-fault classification, S V M, Scada, Wind turbine, XGBoostAutores:Ángel Encalada-Dávila, Benalcázar-Parra C., Christian Tutivén Gálvez, Hugo Andérica, Vidal Y.Fuentes:scopusWind 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 Puruncajas, Christian Tutivén Gálvez, Marcelo Fajardo-Pruna, Vidal Y.Fuentes:googlescopus