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Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
ArticleAbstract: Features extracted from real world applications increase dramatically, while machine learning methodPalabras claves:Attribute clustering, Fault severity classification, feature selection, Rotating machinery, Rough setAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines
ArticleAbstract: Anomaly detection in time series is an important task to many applications, e.g, the maintenance polPalabras claves:Anomaly detection, deep learning, prototype selection, Rotating machineryAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Filho C.J.A.B., Mariela Cerrada Lozada, Monteiro R.P., René-Vinicio Sánchez LojaFuentes:googlescopusSliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot
ArticleAbstract: We investigate the role of the loss function in cycle consistency generative adversarial networks (CPalabras claves:Conditional cycle consistency generative adversarial networks, Cycle consistency generative adversarial networks, Generative Adversarial Networks, industrial robots, Scarce faulty data augmentation, Sliced Wasserstein distanceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Pu Z., Valente de Oliveira J.Fuentes:googlescopus