Rolling Bearing Fault Diagnosis Based on Multi-scale Entropy Feature and Ensemble Learning
Author:
Publisher
Jan Evangelista Purkyne University in Usti nad Labem
Link
https://journalmt.com/doi/10.21062/mft.2024.041.pdf
Reference26 articles.
1. A Novel Incipient Fault Detection Technique for Roller Bearing Using Deep Independent Component Analysis and Variational Modal Decomposition
2. An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings
3. Self-Organizing Maps and VMD for Accurate Diagnosis of Bearing Defects
4. A method combining refined composite multiscale fuzzy entropy with PSO-SVM for roller bearing fault diagnosis
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