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Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
ArticleAbstract: Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. ConsPalabras claves:3D printers, Adversarial learning, Condition-Based Maintenance, convolutional neural networks, Fault DetectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Valente de Oliveira J.Fuentes: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