Lookup NU author(s): Dr Paul Hyde,
Dr Cristian Ulianov
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The safe guidance of railway vehicles is dependent on the contact geometry between the wheel and the rail as defects in the running surface of the wheels can increase the risk of derailments and wheel catastrophic failures, and significantly increase the damage done by the vehicle to the track. An automatic optical based system for detecting wheel defects of rail vehicles passing in service has been developed and tested. The system is described, detailing the process of capturing consistent high resolution and quality images of the wheel tread and flange suitable for processing to detect defects. Tests of the system have been carried out with a wide variety of different rail vehicles, some with defects created artificially on the test wheel to test the image capturing capability of the system and its ability to automatically detect the defects. The prototype system was successfully installed in an operational railway site and captured high-resolution images of the tread and flanges of the entire circumference of rail vehicle wheels as they passed through the system. The system was also shown to be successful at automatically analysing the captured images to detect wheel surface defects.
Author(s): Hyde P, Defossez F, Ulianov C
Publication type: Article
Publication status: Published
Journal: IET Intelligent Transport Systems
Print publication date: 01/02/2016
Acceptance date: 11/11/2015
ISSN (print): 1751-956X
ISSN (electronic): 1751-9578
Publisher: The Institution of Engineering and Technology
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