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

关键词：

31;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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