Wheel-rail profile estimation

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

Authors

Colleges, School and Institutes

External organisations

  • Loughborough University

Abstract

The dynamic response of a railway vehicle is dependent upon the interaction between the wheel and rail. Currently these key components are monitored for wear and condition off-line and separately. However, it is the combined nonlinear interaction that really affects the dynamics. This paper presents the initial Rail Research UK (RRUK) sponsored feasibility study into estimating the wheel-rail profiles in real-time under normal running. A Kalman filter approach is used to estimate the relevant system parameters, and it is applied to a simplified wheelset model that includes the nonlinear geometries as a nonlinear conicity function. This approach is successfully applied in a simulation study to recreate the nonlinear conicity function as the wheelset moves laterally over the rail.

Details

Original languageEnglish
Title of host publicationIET International Conference on Railway Condition Monitoring
Publication statusPublished - 1 Dec 2006
EventIET International Conference on Railway Condition Monitoring - Birmingham, United Kingdom
Duration: 29 Nov 200630 Nov 2006

Conference

ConferenceIET International Conference on Railway Condition Monitoring
CountryUnited Kingdom
CityBirmingham
Period29/11/0630/11/06

Keywords

  • Kalman filter, Wheel-rail profile

ASJC Scopus subject areas