A fault feature extraction algorithm based on CEEMD-TVD-MOMEDA
Rolling bearings are indispensable key components in mechanical equipment, and they are also one of the most easily damaged components. To solve the problem of bearing fault feature extraction under strong noise interference, a combination of complementary ensemble average empirical mode decomposit...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Tamkang University Press
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/fa15a986bad5459a8d6206ee871d9d29 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|