Diagnostics of rolling element bearings for the traction system of high speed trains : experimental evidences

Chatterton, S., Pennacchi, P., Ricci, R., & Borghesani, P. (2013) Diagnostics of rolling element bearings for the traction system of high speed trains : experimental evidences. In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 4–7 August 2013, Portland, Oregon.

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Monitoring of the integrity of rolling element bearings in the traction system of high speed trains is a fundamental operation in order to avoid catastrophic failures and to implement effective condition-based maintenance strategies. Diagnostics of rolling element bearings is usually based on vibration signal analysis by means of suitable signal processing techniques. The experimental validation of such techniques has been traditionally performed by means of laboratory tests on artificially damaged bearings, while their actual effectiveness in industrial applications, particularly in the field of rail transport, remains scarcely investigated. This paper will address the diagnostics of bearings taken from the service after a long term operation on a high speed train. These worn bearings have been installed on a test-rig, consisting of a complete full-scale traction system of a high speed train, able to reproduce the effects of wheel-track interaction and bogie-wheelset dynamics. The results of the experimental campaign show that suitable signal processing techniques are able to diagnose bearing failures even in this harsh and noisy application. Moreover, the most suitable location of the sensors on the traction system is also proposed.

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ID Code: 74418
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1115/DETC2013-13095
ISBN: 9780791855997
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 28 Jul 2014 00:48
Last Modified: 28 Jul 2014 23:08

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