Bearing fault diagnosis algorithm based on maximum correlated kurtosis feature mode decomposition and compound Gini index
The maximum correlated kurtosis feature mode decomposition (MCKFMD) method can effectively remove redundant information and enhance fault features, but its effect is affected by the number of decomposition modes, the number of initialized filters and the filter length. To address this problem, a bea...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2023-07-01
|
| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2023.04.002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|