Rail Defects Detection Algorithm Based on Continuous Wavelet Transform and Frequency Domain Analysis
The paper proposes an algorithm for detecting railway track defects by the inertial sensor data with account for passing the bolted joints. As mathematical techniques, continuous wavelet transform and frequency analysis are applied. The algorithm has been tested on an experimental data sample and shown to be efficient.
Authors
- Daniil Larionov (ORCID: https://orcid.org/0000-0001-6722-9211)
- Roman V. Shalymov
- L. N. Podgornaya (ORCID: https://orcid.org/0000-0001-8466-2017)
- D. M. Klionskiy (ORCID: https://orcid.org/0000-0002-1203-297X)
- A. N. Tkachenko (ORCID: https://orcid.org/0000-0002-4706-4859)
- A. M. Boronakhin
- Alexandra V. Bolshakova (ORCID: https://orcid.org/0000-0002-9294-8338)
Institutions
- Saint Petersburg State Electrotechnical University (RU)
Publication Details
- Journal
- Gyroscopy and Navigation
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1134/s2075108724700366
- Primary Topic
- Railway Engineering and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00