Enhanced Fault Detection in High-Speed Train Bearings Using Empirical Mode Decomposition (EMD) and Kurtosis-Based IMF Selection: A Test Bench Approach
The critical operating conditions of high-speed trains (HSTs) increase the occurrence of mechanical faults, particularly in key components such as axle bearings. To enhance fault detection and prevention, our study begins with controlled experimental simulations performed on a dedicated test rig at...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/15/epjconf_cistem2024_05002.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|