Experimental evidences in bearing diagnostics for traction system of high speed trains

Pennacchi, Paolo, Chatterton, Steven, Vania, Andrea, Ricci, Roberto, & Borghesani, Pietro (2013) Experimental evidences in bearing diagnostics for traction system of high speed trains. Chemical Engineering Transactions, 33, pp. 739-744.

View at publisher (open access)


Rolling element bearings are the most critical components in the traction system of high speed trains. Monitoring their integrity is a fundamental operation in order to avoid catastrophic failures and to implement effective condition based maintenance strategies. Generally, diagnostics of rolling element bearings is usually performed by analyzing vibration signals measured by accelerometers placed in the proximity of the bearing under investigation. Several papers have been published on this subject in the last two decades, mainly devoted to the development and assessment of signal processing techniques for diagnostics. The experimental validation of such techniques has been traditionally performed by means of laboratory tests on artificially damaged bearings, while their actual effectiveness in specific industrial applications, particularly in rail industry, remains scarcely investigated. This paper is aimed at filling this knowledge gap, by addressing the diagnostics of bearings taken from the service after a long term operation on the traction system of a high speed train. Moreover, in order to test the effectiveness of the diagnostic procedures in the environmental conditions peculiar to the rail application, a specific test-rig has been built, consisting of a complete full-scale train traction system, able to reproduce the effects of wheeltrack 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 proposed, in order to limit their number.

Impact and interest:

10 citations in Scopus
7 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 74422
Item Type: Journal Article
Refereed: Yes
Keywords: Condition based maintenance, Environmental conditions, Experimental validations, Fundamental operations, High speed train (HST), Rolling Element Bearing, Signal processing technique, Train traction systems, Industrial applications, Railroads, Signal processing, Railroad cars
DOI: 10.3303/CET1333124
ISSN: 1974-9791
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 28 Jul 2014 02:01
Last Modified: 22 Jun 2017 03:01

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page