Vibration-based Detection of Wheel Flat on a High-Speed Train

Ruichen Wang, David Crosbee, Adam Bevan, Zhiwei Wang, Dong Zhen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wheel flat is not only commonly unavoidable surface damage in railway wheels, it can result in possible damage and deterioration incurring high risk of running safety and high maintenance costs. Wheel flat is therefore necessary to be detected at an early stage to minimise safety hazard and maintenance work. This study explores the capacity of the vibration-based detection for high-speed train wheel flatness. A more realistic vehicle-track coupling dynamic model (a dynamic model of vehicle systems of 94 degrees of freedom with wheel flat) considering the dynamic factors of traction transmission, gear transmission and the track geometry irregularities, is established to calculate the dynamic responses of axlebox. In this paper, the proposed method is focus on processing the axle box vertical vibration caused by wheel flat in conventional time and frequency domain, as well as the envelope analysis with a band pass filter. Results demonstrate that the wheel flat can be successfully detected in a more realistic vehicle model, provide an efficient way to the wheel flat detection.
Original languageEnglish
Title of host publicationProceedings of COMADEM : 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management
Subtitle of host publicationCOMADEM 2019
Publication statusAccepted/In press - 24 Jun 2019
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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Wang, R., Crosbee, D., Bevan, A., Wang, Z., & Zhen, D. (Accepted/In press). Vibration-based Detection of Wheel Flat on a High-Speed Train. In Proceedings of COMADEM : 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management: COMADEM 2019