Defect Detection on the Freight-Car Wheel Surface with a Monitoring Device Mounted on the Axle Box
Year: 2025
Type: article
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.
Authors: Dmitriy Solin, Artem Shamray, Denis Danilenko
Institution: Petersburg State Transport University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4408901559