Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty

Title
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty
Authors
Keywords
Data augmentation, Fault diagnosis, Imbalanced data, Low-data domain, GAN, WGAN-GP
Journal
NEUROCOMPUTING
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-04-24
DOI
10.1016/j.neucom.2018.10.109

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