Name
Title | ||
|---|---|---|
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix |
Abstract | ||
|---|---|---|
•A multi-channel fusion covariance matrix (MFCM) with symmetric positive definite (SPD) property is designed for multi-channel information fusion.•A MMRMHD is proposed by incorporating MFCM into the framework of Riemannian manifold.•The kernelized MMRMHD model called MMRMKHD is designed with Log-Euclidean metric-based kernel function.•We propose a roller bearing fault diagnosis method with MFCM and MMRMHD.•The experiment results testify the superiority of the proposed diagnosis method. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.aei.2021.101513 | Advanced Engineering Informatics |
Keywords | DocType | Volume |
Roller bearing,Fault diagnosis,Maximum margin Riemannian manifold-based hyperdisk,Multi-channel fusion covariance matrix | Journal | 51 |
ISSN | Citations | PageRank |
1474-0346 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Li | 1 | 509 | 46.11 |
| Yu Yang | 2 | 0 | 0.68 |
| Niao-Qing Hu | 3 | 13 | 3.46 |
| Zhe Cheng | 4 | 0 | 0.68 |
| Haidong Shao | 5 | 63 | 10.49 |
| Junsheng Cheng | 6 | 726 | 44.79 |