Name
Title | ||
|---|---|---|
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework |
Abstract | ||
|---|---|---|
•A new ACGAN framework for improving the quality of generation is developed.•New loss functions by Wasserstein distance is used for smoothing training.•Using spectral normalization to optimize the adversarial training process.•The proposed MACGAN performs effective in bearing and gear fault diagnosis. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.aei.2022.101552 | Advanced Engineering Informatics |
Keywords | DocType | Volume |
Modified ACGAN,New framework,Multi-mode data augmentation,Rotating machinery fault diagnosis,Spectrum normalization | Journal | 52 |
ISSN | Citations | PageRank |
1474-0346 | 1 | 0.37 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Li | 1 | 111 | 30.97 |
| Xiang Zhong | 2 | 1 | 0.37 |
| Haidong Shao | 3 | 63 | 10.49 |
| Baoping Cai | 4 | 1 | 0.37 |
| Xingkai Yang | 5 | 1 | 0.37 |