Name
Title | ||
|---|---|---|
Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion |
Abstract | ||
|---|---|---|
In intelligent fault diagnosis, transfer learning can reduce the requirement of sufficient labeled data and the same data distribution. However, for the diagnosis of a new machine, there are still some limitations, such as low accuracy or the demand for some labeled data with fault information in the new machine. In this article, we propose a stack autoencoder transfer learning algorithm based on ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIE.2021.3066933 | IEEE Transactions on Industrial Electronics |
Keywords | DocType | Volume |
Fault diagnosis,Feature extraction,Task analysis,Transfer learning,Machinery,Decoding,Classification algorithms | Journal | 69 |
Issue | ISSN | Citations |
3 | 0278-0046 | 2 |
PageRank | References | Authors |
0.38 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meidi Sun | 1 | 2 | 0.38 |
| Hui Wang | 2 | 7 | 0.84 |
| Ping Liu | 3 | 2 | 0.72 |
| Shoudao Huang | 4 | 7 | 6.25 |
| Pan Wang | 5 | 2 | 0.38 |
| Jinhao Meng | 6 | 2 | 0.72 |