Wheel-rail profile estimation

G. Charles; R. Goodall; R. Dixon

doi:10.1049/ic:20060039

Wheel-rail profile estimation

G. Charles^*, R. Goodall, R. Dixon

^*Corresponding author for this work

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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.

Original language	English
Title of host publication	IET International Conference on Railway Condition Monitoring
Pages	32-37
Number of pages	6
Volume	2006
Edition	11575
DOIs	https://doi.org/10.1049/ic:20060039
Publication status	Published - 1 Dec 2006
Event	IET International Conference on Railway Condition Monitoring - Birmingham, United Kingdom Duration: 29 Nov 2006 → 30 Nov 2006

Conference

Conference	IET International Conference on Railway Condition Monitoring
Country/Territory	United Kingdom
City	Birmingham
Period	29/11/06 → 30/11/06

Keywords

Kalman filter
Wheel-rail profile

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/ic:20060039

Cite this

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title = "Wheel-rail profile estimation",

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.",

keywords = "Kalman filter, Wheel-rail profile",

author = "G. Charles and R. Goodall and R. Dixon",

year = "2006",

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day = "1",

doi = "10.1049/ic:20060039",

language = "English",

isbn = "0863417329",

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TY - GEN

T1 - Wheel-rail profile estimation

AU - Charles, G.

AU - Goodall, R.

AU - Dixon, R.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - 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.

AB - 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.

KW - Kalman filter

KW - Wheel-rail profile

UR - http://www.scopus.com/inward/record.url?scp=34047131761&partnerID=8YFLogxK

U2 - 10.1049/ic:20060039

DO - 10.1049/ic:20060039

M3 - Conference contribution

AN - SCOPUS:34047131761

SN - 0863417329

SN - 9780863417320

VL - 2006

SP - 32

EP - 37

BT - IET International Conference on Railway Condition Monitoring

T2 - IET International Conference on Railway Condition Monitoring

Y2 - 29 November 2006 through 30 November 2006

ER -

Wheel-rail profile estimation

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this