Ss-InfoGAN for Class-Imbalance Classification of Bearing Faults
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Reference13 articles.
1. M. Buda, A. Maki, and M. A. Mazurowski. A systematic study of the class imbalance problem in convolutional neural networks. Neural Networks. vol. 106, pp. S0893608018302107-, 2017.
2. L. X. Duan, M. Y. Xie, T. B. Bai, and J. J. Wang. A new support vector data description method for machinery fault diagnosis with unbalanced datasets. Expert Systems with Applications. vol. 64, pp. 239-246, Dec 1 2016.
3. W. T. Mao, L. He, Y. J. Yan, and J. W. Wang. Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine. Mechanical Systems and Signal Processing. vol. 83, pp. 450-473, Jan 15 2017.
4. Yan. Generative adversarial networks for data augmentation in machine fault diagnosis;Shao;Computers in Industry,2019
5. I. Goodfellow. NIPS 2016 Tutorial: Generative Adversarial Networks. 2016.
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