Rolling Bearing Fault Diagnosis Based on ELCD Permutation Entropy and RVM
Aiming at the nonstationary characteristic of a gear fault vibration signal, a recognition method based on permutation entropy of ensemble local characteristic-scale decomposition (ELCD) and relevance vector machine (RVM) is proposed. First, the vibration signal was decomposed by ELCD; then a series...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/1308108 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|