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.

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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
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article

Defect Detection on the Freight-Car Wheel Surface with a Monitoring Device Mounted on the Axle Box

Denis Danilenko, Dmitriy Solin, Artem Shamray
Bulletin of scientific research results
Industrial Vision Systems and Defect Detection
article

Defect Detection on the Freight-Car Wheel Surface with a Monitoring Device Mounted on the Axle Box

Denis Danilenko, Dmitriy Solin, Artem Shamray
article en

Abstract

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.

Bulletin of scientific research resultsVol. 2025(1)
Petersburg State Transport University (RU)
Openalex Percentile: Top 93%
Industrial Vision Systems and Defect Detection
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