Documentos de Pu Z. | REDI

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Mostrando 3 resultados de: 3

Filtros aplicados

Origen: "google"

Subtipo de publicación

Publisher

Applied Sciences (Switzerland)(1)

Expert Systems with Applications(1)

Robotics and Computer-Integrated Manufacturing(1)

Área temáticas

Física aplicada(2)

Métodos informáticos especiales(2)

Ciencias de la computación(1)

Ingeniería y operaciones afines(1)

Otras ramas de la ingeniería(1)

Área de conocimiento

Aprendizaje automático(1)

Ciencias de la computación(1)

Inteligencia artificial(1)

Año de Publicación

Origen

Palabras Claves

random forest(2)

Bi-directional generative adversarial network(1)

Conditional cycle consistency generative adversarial networks(1)

Cycle consistency generative adversarial networks(1)

Fault diagnosis(1)

Generative adversarial one-shot diagnosis of transmission faults for industrial robots

Abstract: Transmission systems of industrial robots are prone to get failures due to harsh operating environme

Palabras claves:

Bi-directional generative adversarial network, Industrial robot, One-shot diagnosis, random forest, Transmission system

Bai Y., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Pu Z.

Exploiting generative adversarial networks as an oversampling method for fault diagnosis of an industrial robotic manipulator

Abstract: Data-driven machine learning techniques play an important role in fault diagnosis, safety, and maint

Palabras claves:

Fault diagnosis, Feature Extraction, Generative Adversarial Network, random forest, Unbalance data

Diego Cabrera Mendieta, Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, Pu Z., René-Vinicio Sánchez Loja

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot

Abstract: We investigate the role of the loss function in cycle consistency generative adversarial networks (C

Palabras claves:

Conditional cycle consistency generative adversarial networks, Cycle consistency generative adversarial networks, Generative Adversarial Networks, industrial robots, Scarce faulty data augmentation, Sliced Wasserstein distance

Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Pu Z., Valente de Oliveira J.