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Combining multi-scalewavelet entropy and kernelized classification for bearing multi-fault diagnosis
ArticleAbstract: Discriminative feature extraction and rolling element bearing failure diagnostics are very importantPalabras claves:Kernel Extreme Learning Machine, Multi-scale entropy, Stationary Wavelet TransformAutores:Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo RodríguezFuentes:googlescopusOptimization algorithms combining (meta)heuristics and mathematical programming and its application in engineering
OtherAbstract:Palabras claves:Autores:Cabrera-Guerrero G., Gupta A., Nibaldo Rodríguez, Zabala P.L.Fuentes:scopusLocal Search Algorithms for the Beam Angles' Selection Problem in Radiotherapy
ArticleAbstract: One important problem in radiation therapy for cancer treatment is the selection of the set of beamPalabras claves:Autores:Cabrera E., Cabrera-Guerrero G., Johnson F., Lagos C., Nibaldo RodríguezFuentes:scopusSolving the balanced academic curriculum problem using the ACO metaheuristic
ArticleAbstract: The balanced academic curriculum problem consists in the assignation of courses to academic periodsPalabras claves:Autores:Cabrera-Guerrero G., Crawford B., Nibaldo Rodríguez, Palma W., Paredes F., Rubio J.M., Soto R.Fuentes:scopusStationary wavelet-Fourier entropy and kernel extreme learning for bearing multi-fault diagnosis
ArticleAbstract: Bearing fault diagnosis methods play an important role in rotating machine health monitoring. In recPalabras claves:Fourier amplitude spectrum kernel extreme learning machine, Multi-scale entropy, Stationary wavelet packet transformAutores:Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo RodríguezFuentes:googlescopus