Generative adversarial networks for data augmentation in machine fault diagnosis

• Published in: Computers in industry Vol. 106; pp. 85 - 93
• Main Authors: Shao, Siyu, Wang, Pu, Yan, Ruqiang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2019
• Subjects: Auxiliary classifier generative adversarial networks; Data augmentation; Fault diagnosis; Induction motor; Signal generation; Fault diagnosis; Induction motor; Signal generation; Data augmentation; Auxiliary classifier generative adversarial networks

•Generative adversarial network is able to generate realistic samples.•Model with one dimensional convolution operation achieves best performance.•Quality of generated samples is evaluated by statistical features and experiments.•Generated samples serve as training data in machine fault diagnosis ta...