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Gearbox fault classification using dictionary sparse based representations of vibration signals
Conference ObjectAbstract: Fault detection in rotating machinery is important for optimizing maintenance chores and avoiding sePalabras claves:Dictionary Learning, Feature Extraction, gearbox fault, sparse representation, Vibration signalAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusEvaluation of time and frequency condition indicators from vibration signals for crack detection in railway axles
ArticleAbstract: Railway safety is a matter of importance as a single failure can involve risks associated with econoPalabras claves:condition monitoring, Crack detection, Feature Extraction, feature selection, Frequency-domain features, Railway axles, Random forest classifier, Time-domain featuresAutores:Alonso H.R., Castejón C., Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopus