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Comparison of Machine Learning Algorithms for the Pbkp_rediction of Mechanical Stress in Three-Phase Power Transformer Winding Conductors
ArticleAbstract: This research compares four machine learning techniques: linear regression, support vector regressioPalabras claves:Autores:Fausto Valencia, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopusMechanical Stress in Power Transformer Winding Conductors: A Support Vector Regression Approach
Conference ObjectAbstract: A support vector regression model to determine the mechanical stress in winding conductors of a powePalabras claves:Electromagnetic forces, Finite Element Method, Mechanical stress, Power transformers, Support Vector RegressionAutores:Fausto Valencia, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopusImpact of volcanic ash from Cotopaxi-2015 and Tungurahua-2016 eruptions on the dielectric characteristics of suspension insulators, Ecuador
ArticleAbstract: In Ecuador, a country with several active volcanoes and with four eruptions in the last decade in thPalabras claves:Cotopaxi, Flashover, Insulators, Leachates, Tungurahua, Volcanic ashAutores:Anais Vásconez Müller, Fausto Valencia, Francisco J. Vasconez, Franklin L. Quilumba, Juan David Ramirez, Julien Bernard, López A., Silvana HidalgoFuentes:googlescopusPbkp_rediction of stress in power transformer winding conductors using artificial neural networks: Hyperparameter analysis
ArticleAbstract: The purpose of this research is the evaluation of artificial neural network models in the pbkp_redicPalabras claves:artificial neural networks, deep learning, Electromagnetic forces, Finite Element Method, Power transformers, StressAutores:Fausto Valencia, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopus