Defect Detection on the Freight-Car Wheel Surface with a Monitoring Device Mounted on the Axle Box
Purpose: To obtain CMDS initial data from the moving freight car (empty or loaded) wheelsets both newly manufactured or with rolling surface defects; to generate statistical data based on the results of registered readings from CMDS inbuilt sensors installed on the 18-9891 model bogie. Methods: Statistical data processing obtained from the CMDS device tested on a railway car to determine the maximum acceleration amplitudes of a moving car with different wheelset conditions and impact frequency for each speed mode. Results: The research tests have shown that the CMDS captures the impact of a defective wheel against a rail. The algorithm for automatic detection of a defective wheel impact against the rail can be built based on the frequency component of increased acceleration amplitudes with the appropriate loading mode and speed of movement. Practical significance: The test results obtained allow developing algorithms for defect detection on the train wheelset rolling surface using CMDS, which is one of the most important functions of a digital freight car.
Authors
- Denis Danilenko (ORCID: https://orcid.org/0000-0002-7517-5767)
- Dmitriy Solin
- Artem Shamray
Institutions
- Petersburg State Transport University (RU)
Publication Details
- Journal
- Bulletin of scientific research results
- Published
- 2025-03-25
- DOI
- https://doi.org/10.20295/2223-9987-2025-1-45-61
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00