The University of Southampton
University of Southampton Institutional Repository

On-board condition monitoring of rail axle bearings using vibrations

On-board condition monitoring of rail axle bearings using vibrations
On-board condition monitoring of rail axle bearings using vibrations
Premature failure of rail axle bearings generates a significant increase in train operating costs and can also affect train safety. In order to solve this problem a commercial on-board condition monitoring system has been fitted on numerous passenger trains, providing the operator with real-time information on bearing health. This new technology detects bearing damage effectively and promptly. The project of which this paper is a part aims to determine a relationship between vibrations and bearing damage. Filtering tools have been developed to parameterise extra vibrations due to bearing damage, and to compare vibrations produced by different bearings. Bearings, which failed in-service, have been analysed with surface profilometry, to quantify the damage. This paper highlights a requirement for a better understanding of the damage mechanisms involved in bearing failure and a more detailed characterization of the damage.
2-8
Corni, Ilaria
f3279082-7093-4a67-b1d7-9ab8bac75b8b
Symonds, Nicola
cc8585b0-89f5-471c-84fd-969176516829
Wasenczuk, Adam
c37fe0d5-546e-4cea-b539-adcd3e21b89e
Vincent, David
946a309d-fe3b-4250-9282-c9a7a7846611
Corni, Ilaria
f3279082-7093-4a67-b1d7-9ab8bac75b8b
Symonds, Nicola
cc8585b0-89f5-471c-84fd-969176516829
Wasenczuk, Adam
c37fe0d5-546e-4cea-b539-adcd3e21b89e
Vincent, David
946a309d-fe3b-4250-9282-c9a7a7846611

Corni, Ilaria, Symonds, Nicola, Wasenczuk, Adam and Vincent, David (2018) On-board condition monitoring of rail axle bearings using vibrations. International Journal of Condition Monitoring, 2-8.

Record type: Article

Abstract

Premature failure of rail axle bearings generates a significant increase in train operating costs and can also affect train safety. In order to solve this problem a commercial on-board condition monitoring system has been fitted on numerous passenger trains, providing the operator with real-time information on bearing health. This new technology detects bearing damage effectively and promptly. The project of which this paper is a part aims to determine a relationship between vibrations and bearing damage. Filtering tools have been developed to parameterise extra vibrations due to bearing damage, and to compare vibrations produced by different bearings. Bearings, which failed in-service, have been analysed with surface profilometry, to quantify the damage. This paper highlights a requirement for a better understanding of the damage mechanisms involved in bearing failure and a more detailed characterization of the damage.

Text REVISION for International Journal of Condition Monitoring_Corni et al for PURE - Accepted Manuscript
Download (629kB)

More information

Submitted date: 22 March 2017
Accepted/In Press date: 18 January 2018
Published date: February 2018

Identifiers

Local EPrints ID: 417134
URI: https://eprints.soton.ac.uk/id/eprint/417134
PURE UUID: b040cb2d-3f4d-4dcf-b321-0cf88710f920

Catalogue record

Date deposited: 19 Jan 2018 17:30
Last modified: 20 Apr 2018 04:01

Export record

Contributors

Author: Ilaria Corni
Author: Nicola Symonds
Author: Adam Wasenczuk
Author: David Vincent

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×