BC-GAN: A threshold-free framework for unsupervised early fault detection in rotating machinery

Author:

Wang Yu,Bernat Szymon,Vinogradov Alexey

Funder

SINTEF Industri

Norges Forskningsråd

Publisher

Elsevier BV

Reference31 articles.

1. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein GAN (arXiv:1701.07875). arXiv. doi: 10.48550/arXiv.1701.07875.

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3. Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty;Gao;Neurocomputing,2020

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5. Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., & Courville, A. (2017). Improved Training of Wasserstein GANs (arXiv:1704.00028). arXiv. doi: 10.48550/arXiv.1704.00028.

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