Name
Title | ||
|---|---|---|
A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multi-modules Learning with Gradient Penalized Generative Adversarial Networks |
Abstract | ||
|---|---|---|
Intelligent fault diagnosis of machines has long been a research hotspot and has achieved fruitful results. However, intelligent fault diagnosis is a difficult issue in the case of a small sample due to the lack of fault signals. To solve this problem, a small sample focused intelligent fault diagnosis method via multimodules gradient penalized generative adversarial networks is proposed. The prop... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TIE.2020.3028821 | IEEE Transactions on Industrial Electronics |
Keywords | DocType | Volume |
Generative adversarial networks,Fault diagnosis,Training,Feature extraction,Convolutional neural networks,Training data,Generators | Journal | 68 |
Issue | ISSN | Citations |
10 | 0278-0046 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianci Zhang | 1 | 0 | 0.34 |
| Jinglong Chen | 2 | 3 | 3.08 |
| Fudong Li | 3 | 0 | 0.34 |
| Tongyang Pan | 4 | 3 | 4.77 |
| Shuilong He | 5 | 26 | 7.68 |