A Hybrid Fault Diagnosis Model for Rolling Bearing With Optimized VMD and Fuzzy Dispersion Entropy
The vibration signal of rolling beating is nonlinear and nonstationary, which makes feature extraction difficult for fault diagnosis. To improve the efficiency of feature extraction and fault diagnosis, a hybrid model based on optimized variational mode decomposition (VMD), fuzzy dispersion entropy...
Saved in:
| Main Authors: | Xin Xia, Xiaolu Wang, Weilin Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/ijrm/7990867 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE
by: Baoxian Chang, et al.
Published: (2024-01-01) -
A VMD and CNN Combined Fault Diagnosis Method for Rolling Bearings
by: Li Kui, et al.
Published: (2022-11-01) -
Application of Optimization Parameters VMD and MED in Fault Diagnosis of Train Gearbox Rolling Bearings
by: Changqing LI, et al.
Published: (2020-05-01) -
A study on rolling bearing fault diagnosis using RIME-VMD
by: Zhenrong Ma, et al.
Published: (2025-02-01) -
An Intelligent Fault Diagnosis Model for Rolling Bearings Based on IGTO-Optimized VMD and LSTM Networks
by: Xianglong Luo, et al.
Published: (2025-04-01)