An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network

被引：0
|
作者：
Ma, Liang [1 ,2 ,3 ]
Ding, Yu [2 ,4 ]
Wang, Zili [1 ,2 ,3 ]
Wang, Chao [1 ,2 ,3 ]
Ma, Jian [1 ,2 ,3 ]
Lu, Chen [1 ,2 ,3 ]
机构：
[1] Institute of Reliability Engineering, Beihang University, Beijing,100191, China
[2] Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing,100191, China
[3] School of Reliability and Systems Engineering, Beihang University, Beijing,100191, China
[4] School of Aeronautic Science and Engineering, Beihang University, Beijing,100191, China
来源：
Expert Systems with Applications | 2021年 / 182卷
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