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A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses
ArticleAbstract: In this article, fault diagnosis is of great significance for system health maintenance. For real apPalabras claves:Fault diagnosis, latent knowledge, one-class generative adversarial detection (OCGAD), semisupervised learningAutores:Bai Y., Diego R. Cabrera, Li C., Pu Z.Fuentes:scopusExploiting generative adversarial networks as an oversampling method for fault diagnosis of an industrial robotic manipulator
ArticleAbstract: Data-driven machine learning techniques play an important role in fault diagnosis, safety, and maintPalabras claves:Fault diagnosis, Feature Extraction, Generative Adversarial Network, random forest, Unbalance dataAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, Pu Z., René-Vinicio Sánchez LojaFuentes:googlescopusVGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis
ArticleAbstract: Generative adversarial networks (GANs) have shown their potential for data generation. However, thisPalabras claves:conditional Wasserstein generative adversarial network, Data generation, Fault diagnosis, regularization, robotics, V-matrixAutores:De Oliveira J.V., Diego R. Cabrera, Li C., Pu Z.Fuentes:scopusSliced 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