A least mean squared approach to wheel-rail profile estimation

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

Standard

A least mean squared approach to wheel-rail profile estimation. / Charles, Guy; Goodall, Roger; Dixon, Roger.

4th IET International Conference on Railway Condition Monitoring, RCM 2008. Vol. 2008 12216. ed. 2008.

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

Harvard

Charles, G, Goodall, R & Dixon, R 2008, A least mean squared approach to wheel-rail profile estimation. in 4th IET International Conference on Railway Condition Monitoring, RCM 2008. 12216 edn, vol. 2008, 4th IET International Conference on Railway Condition Monitoring, RCM 2008, Derby, United Kingdom, 18/06/08. https://doi.org/10.1049/ic:20080346

APA

Charles, G., Goodall, R., & Dixon, R. (2008). A least mean squared approach to wheel-rail profile estimation. In 4th IET International Conference on Railway Condition Monitoring, RCM 2008 (12216 ed., Vol. 2008) https://doi.org/10.1049/ic:20080346

Vancouver

Charles G, Goodall R, Dixon R. A least mean squared approach to wheel-rail profile estimation. In 4th IET International Conference on Railway Condition Monitoring, RCM 2008. 12216 ed. Vol. 2008. 2008 https://doi.org/10.1049/ic:20080346

Author

Charles, Guy ; Goodall, Roger ; Dixon, Roger. / A least mean squared approach to wheel-rail profile estimation. 4th IET International Conference on Railway Condition Monitoring, RCM 2008. Vol. 2008 12216. ed. 2008.

Bibtex

@inproceedings{8d9cf26de2ad4075bbf91559e5586d51,
title = "A least mean squared approach to wheel-rail profile estimation",
abstract = "The stability and guidance of a railway vehicle is provided in part by the contact geometry of the wheel-rail contact, and any changes to this geometry will efect the response of the railway vehicle. Typically the condition and shape of the wheel and rail are monitored separately and off-line, but it is the combination of the two in situ that really afects the dynamics. This paper outlines a practical approach to estimating a nonlinear function within a dynamic system by using a piecewise cubic functions. The parameters for the cubic functions are estimated with a least squared approach applied to the dynamic measurements taken from the system. A simplied plan-view wheelset and suspended mass model is introduced to use as an application of this technique. The nonlinear aspect of the contact is included in the form of a conicity function which varies with the relative lateral wheel-rail position. The conicity is successfully estimated using the least-squares method outlined in the paper.",
keywords = "Estimation, LMS, Wheel-rail contact",
author = "Guy Charles and Roger Goodall and Roger Dixon",
year = "2008",
month = dec,
day = "1",
doi = "10.1049/ic:20080346",
language = "English",
isbn = "9780863419270",
volume = "2008",
booktitle = "4th IET International Conference on Railway Condition Monitoring, RCM 2008",
edition = "12216",
note = "4th IET International Conference on Railway Condition Monitoring, RCM 2008 ; Conference date: 18-06-2008 Through 20-06-2008",

}

RIS

TY - GEN

T1 - A least mean squared approach to wheel-rail profile estimation

AU - Charles, Guy

AU - Goodall, Roger

AU - Dixon, Roger

PY - 2008/12/1

Y1 - 2008/12/1

N2 - The stability and guidance of a railway vehicle is provided in part by the contact geometry of the wheel-rail contact, and any changes to this geometry will efect the response of the railway vehicle. Typically the condition and shape of the wheel and rail are monitored separately and off-line, but it is the combination of the two in situ that really afects the dynamics. This paper outlines a practical approach to estimating a nonlinear function within a dynamic system by using a piecewise cubic functions. The parameters for the cubic functions are estimated with a least squared approach applied to the dynamic measurements taken from the system. A simplied plan-view wheelset and suspended mass model is introduced to use as an application of this technique. The nonlinear aspect of the contact is included in the form of a conicity function which varies with the relative lateral wheel-rail position. The conicity is successfully estimated using the least-squares method outlined in the paper.

AB - The stability and guidance of a railway vehicle is provided in part by the contact geometry of the wheel-rail contact, and any changes to this geometry will efect the response of the railway vehicle. Typically the condition and shape of the wheel and rail are monitored separately and off-line, but it is the combination of the two in situ that really afects the dynamics. This paper outlines a practical approach to estimating a nonlinear function within a dynamic system by using a piecewise cubic functions. The parameters for the cubic functions are estimated with a least squared approach applied to the dynamic measurements taken from the system. A simplied plan-view wheelset and suspended mass model is introduced to use as an application of this technique. The nonlinear aspect of the contact is included in the form of a conicity function which varies with the relative lateral wheel-rail position. The conicity is successfully estimated using the least-squares method outlined in the paper.

KW - Estimation

KW - LMS

KW - Wheel-rail contact

UR - http://www.scopus.com/inward/record.url?scp=67650538345&partnerID=8YFLogxK

U2 - 10.1049/ic:20080346

DO - 10.1049/ic:20080346

M3 - Conference contribution

AN - SCOPUS:67650538345

SN - 9780863419270

VL - 2008

BT - 4th IET International Conference on Railway Condition Monitoring, RCM 2008

T2 - 4th IET International Conference on Railway Condition Monitoring, RCM 2008

Y2 - 18 June 2008 through 20 June 2008

ER -