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Development and testing of an automatic remote condition monitoring system for train wheels

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.

Publication metadata

Author(s): Hyde P, Defossez F, Ulianov C

Publication type: Article

Publication status: Published

Journal: IET Intelligent Transport Systems

Year: 2016

Volume: 10

Issue: 1

Pages: 32-40

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


DOI: 10.1049/iet-its.2015.0041


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