Mostrando 10 resultados de: 17
Publisher
Renewable Energy and Power Quality Journal(3)
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(2)
2019 6th International Conference on eDemocracy and eGovernment, ICEDEG 2019(1)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Communications in Computer and Information Science(1)
Área temáticas
Física aplicada(14)
Métodos informáticos especiales(5)
Ciencias de la computación(4)
Ingeniería civil(1)
Ingeniería y operaciones afines(1)
Compression Effects on Mass Transport Phenomena in digitally generated PEFC Gas Diffusion Layers by using OpenPNM
Conference ObjectAbstract: Computational resources to model transport phenomena is a useful pre-step in experimental characteriPalabras claves:Compression Rate, Gas diffusion layer, Mass transport phenomena, Pore Network ModelingAutores:Ángel Encalada-Dávila, Mayken Espinoza-AndaluzFuentes:googlescopusBehavior of a Polymer Electrolyte Fuel Cell from a Statistical Point of View Based on Data Analysis
Conference ObjectAbstract: Alternative energy sources appear as a suitable solution as the energy demand is growing. Fuel cellsPalabras claves:PCa, PEFC, Polynomial regression, Statistical Analysis, TEMPERATUREAutores:Ángel Encalada-Dávila, Ester Melo, Mayken Espinoza-AndaluzFuentes:googlescopusA Permeability–Throat Diameter Correlation for a Medium Generated with Delaunay Tessellation and Voronoi Algorithm
ArticleAbstract: Describing different transport phenomena through porous media at micro- and mesoscale represents a cPalabras claves:OpenPNM, permeability, Pore diameter, Porous media, Throat diameterAutores:Ángel Encalada-Dávila, Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes: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:googlescopusConceptual Design of a Vibration Test System Based on a Wave Generator Channel for Lab-Scale Offshore Wind Turbine Jacket Foundations
ArticleAbstract: Structural health monitoring (SHM) systems are designed to continually monitor the health of structuPalabras claves:Accelerometer, DAQ system, vibration system, wavemaker channel, Wind turbineAutores:Ángel Encalada-Dávila, Christian Tutivén Gálvez, Efrain Teran, Pardo L., 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:googlescopusDamping Ratio Pbkp_rediction for Redundant Cartesian Impedance-Controlled Robots Using Machine Learning Techniques
ArticleAbstract: Implementing impedance control in Cartesian task space or directly at the joint level is a popular oPalabras claves:Cartesian impedance, CatBoost, LightGBM, Machine learning, MCK system, random forest, Robotic manipulator, support vector regressor, XGBoostAutores:Ángel Encalada-Dávila, Carlos Saldarriaga, Christian Tutivén Gálvez, José Patiño, Kao I., Sampietro J.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:scopusEarly Detection of Main Bearing Damage in Wind Turbines
ArticleAbstract: According to the European Wind Energy Academy (EAWE), the wind industry has recognized that main beaPalabras claves:Fault Detection, GRU neural networks, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusEarly 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:googlescopus