Identification Method for Railway Rail Corrugation Utilizing CEEMDAN-PE-SPWVD
Jianhua Liu, Kexin Zhang, Zhongmei Wang · 2024
Read Identification Method for Railway Rail Corrugation Utilizing CEEMDAN-PE-SPWVD by Jianhua Liu, Kexin Zhang, Zhongmei Wang (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11680013.txt.
Description
Jianhua Liu, Kexin Zhang, and Zhongmei Wang propose in 2024 a method to find wavy wear on railway rails from axle box motion data. Wavy rail wear boosts wheel and rail shaking and can damage train and track parts. Finding its place and depth early aids safe upkeep.
The method splits the motion signal into layered parts and drops the most random ones. The part that tracks the raw signal best then gets a time-frequency map that shows where wear sits and its wave length. A filter and a frequency step yield the wear depth. Tests on fake and real rail data confirm the method reads both traits well.
Catalog record
| CREATOR | Jianhua Liu, Kexin Zhang, Zhongmei Wang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |