An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
Vibration signal-based methods have been widely utilized in machine fault diagnosis.
Usually, a lack of sufficient training data can prevent these methods from achieving …
Usually, a lack of sufficient training data can prevent these methods from achieving …
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
L Ma, Y Ding, Z Wang, C Wang, J Ma, C Lu - 2021 - dl.acm.org
Vibration signal-based methods have been widely utilized in machine fault diagnosis.
Usually, a lack of sufficient training data can prevent these methods from achieving …
Usually, a lack of sufficient training data can prevent these methods from achieving …
[PDF][PDF] An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
L Ma, Y Ding, Z Wang, C Wang, J Ma, C Lu - researchgate.net
Vibration signal-based methods have been widely utilized in machine fault diagnosis.
Usually, a lack of sufficient training data can prevent these methods from achieving …
Usually, a lack of sufficient training data can prevent these methods from achieving …