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International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(2)
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Renewable Energy and Power Quality Journal(1)
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Damage 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:googlescopusFault 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:scopusOptimization algorithms: Optimal parameters computation for modeling the polarization curves of a pefc considering the effect of the relative humidity
ArticleAbstract: The development of green energy conversion devices has been promising to face climate change and gloPalabras claves:Optimal parameter, Optimization algorithm, PEFC, Polarization curve, Relative humidityAutores:Ángel Encalada-Dávila, Gabriel Cedeño, Jordy Santana Villamar, Mayken Espinoza-Andaluz, Samir EcheverríaFuentes:googlescopusTransport parameter correlations for digitally created PEFC gas diffusion layers by using openPNM
ArticleAbstract: A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy inPalabras claves:Delaunay tessellation, Gas diffusion layer, OpenPNM, Polymer electrolyte fuel cell, Transport parameters, Voronoi algorithmAutores:Andersson M., Ángel Encalada-Dávila, Julio Barzola-Monteses, Li S., Mayken Espinoza-AndaluzFuentes:googlescopusWind 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 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 Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopusWind turbine multi-fault detection based on scada data via an autoencoder
ArticleAbstract: Nowadays, wind turbine fault detection strategies are settled as a meaningful pipeline to achieve rePalabras claves:Autoencoder, Multi-Fault Detection, Normality Model, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopus