Continuous Time Parameter Estimation Method for a Railway Track Switch Actuator

Saikat Dutta; Ramakrishnan Ambur; Osama Olaby; Moussa Hamadache; Edward Stewart; Roger Dixon

doi:10.1109/Control55989.2022.9781437

Continuous Time Parameter Estimation Method for a Railway Track Switch Actuator

Saikat Dutta, Ramakrishnan Ambur, Osama Olaby, Moussa Hamadache, Edward Stewart, Roger Dixon

University of Birmingham

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

76 Downloads (Pure)

Abstract

The scheduled maintenance procedure required for the safe running of a switch system is costly and often involves large time. In the changing rail network, the scheduled maintenance process is needed to be replaced with advanced condition monitoring approaches which can predict and detect degradation in the system performance and notify the operator. The present research addresses the challenge to detect any degradation or change of performance of the switch actuation system using continuous time parameter estimation method. A switch system with an electro-mechanical actuator has been considered and the developed technique is tested with changing switch parameters. A new switch actuator is now built and validated and installed in a working test switch system. The method will be tested for different unhealthy/fault scenarios with the working actuator connected to a working switch system.

Original language	English
Title of host publication	2022 UKACC 13th International Conference on Control (CONTROL)
Publisher	IEEE
Pages	56-59
Number of pages	4
ISBN (Electronic)	978-166545200-7
ISBN (Print)	978-1-6654-5201-4
DOIs	https://doi.org/10.1109/Control55989.2022.9781437
Publication status	Published - 2022
Event	UKACC Control Conference 2022: 13th UK Automatic Control Council (UKACC) International Conference - Plymouth, United Kingdom Duration: 20 Apr 2022 → 22 Apr 2022 https://www.plymouth.ac.uk/whats-on/13th-united-kingdom-automatic-control-council-international-conference

Conference

Conference	UKACC Control Conference 2022
Country/Territory	United Kingdom
City	Plymouth
Period	20/04/22 → 22/04/22
Internet address	https://www.plymouth.ac.uk/whats-on/13th-united-kingdom-automatic-control-council-international-conference

Bibliographical note

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funding Information:
ACKNOWLEDGEMENT The work described has been supported by the S-CODE project. This project has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730849. This publication reflects only the authors’ view and the Shift2Rail Joint Undertaking is not responsible for any use that may be made of the information it contains.

Publisher Copyright:
© 2022 IEEE.

Keywords

Condition Monitoring
Continuous time parameter estimation
Refined instrumental variable method
Railway track switch

Access to Document

10.1109/Control55989.2022.9781437

Post-PrintAccepted author manuscript, 1.24 MB

Cite this

@inproceedings{c70f4109afcb47bcbf0110cd1e3e449a,

title = "Continuous Time Parameter Estimation Method for a Railway Track Switch Actuator",

abstract = "The scheduled maintenance procedure required for the safe running of a switch system is costly and often involves large time. In the changing rail network, the scheduled maintenance process is needed to be replaced with advanced condition monitoring approaches which can predict and detect degradation in the system performance and notify the operator. The present research addresses the challenge to detect any degradation or change of performance of the switch actuation system using continuous time parameter estimation method. A switch system with an electro-mechanical actuator has been considered and the developed technique is tested with changing switch parameters. A new switch actuator is now built and validated and installed in a working test switch system. The method will be tested for different unhealthy/fault scenarios with the working actuator connected to a working switch system.",

keywords = "Condition Monitoring, Continuous time parameter estimation, Refined instrumental variable method, Railway track switch",

author = "Saikat Dutta and Ramakrishnan Ambur and Osama Olaby and Moussa Hamadache and Edward Stewart and Roger Dixon",

note = "{\textcopyright} 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author{\textquoteright}s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it. Funding Information: ACKNOWLEDGEMENT The work described has been supported by the S-CODE project. This project has received funding from the Shift2Rail Joint Undertaking under the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 730849. This publication reflects only the authors{\textquoteright} view and the Shift2Rail Joint Undertaking is not responsible for any use that may be made of the information it contains. Publisher Copyright: {\textcopyright} 2022 IEEE.; UKACC Control Conference 2022 : 13th UK Automatic Control Council (UKACC) International Conference ; Conference date: 20-04-2022 Through 22-04-2022",

year = "2022",

doi = "10.1109/Control55989.2022.9781437",

language = "English",

isbn = "978-1-6654-5201-4",

pages = "56--59",

booktitle = "2022 UKACC 13th International Conference on Control (CONTROL)",

publisher = "IEEE",

address = "United States",

url = "https://www.plymouth.ac.uk/whats-on/13th-united-kingdom-automatic-control-council-international-conference",

}

TY - GEN

T1 - Continuous Time Parameter Estimation Method for a Railway Track Switch Actuator

AU - Dutta, Saikat

AU - Ambur, Ramakrishnan

AU - Olaby, Osama

AU - Hamadache, Moussa

AU - Stewart, Edward

AU - Dixon, Roger

N1 - © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it. Funding Information: ACKNOWLEDGEMENT The work described has been supported by the S-CODE project. This project has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730849. This publication reflects only the authors’ view and the Shift2Rail Joint Undertaking is not responsible for any use that may be made of the information it contains. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - The scheduled maintenance procedure required for the safe running of a switch system is costly and often involves large time. In the changing rail network, the scheduled maintenance process is needed to be replaced with advanced condition monitoring approaches which can predict and detect degradation in the system performance and notify the operator. The present research addresses the challenge to detect any degradation or change of performance of the switch actuation system using continuous time parameter estimation method. A switch system with an electro-mechanical actuator has been considered and the developed technique is tested with changing switch parameters. A new switch actuator is now built and validated and installed in a working test switch system. The method will be tested for different unhealthy/fault scenarios with the working actuator connected to a working switch system.

AB - The scheduled maintenance procedure required for the safe running of a switch system is costly and often involves large time. In the changing rail network, the scheduled maintenance process is needed to be replaced with advanced condition monitoring approaches which can predict and detect degradation in the system performance and notify the operator. The present research addresses the challenge to detect any degradation or change of performance of the switch actuation system using continuous time parameter estimation method. A switch system with an electro-mechanical actuator has been considered and the developed technique is tested with changing switch parameters. A new switch actuator is now built and validated and installed in a working test switch system. The method will be tested for different unhealthy/fault scenarios with the working actuator connected to a working switch system.

KW - Condition Monitoring

KW - Continuous time parameter estimation

KW - Refined instrumental variable method

KW - Railway track switch

UR - http://www.scopus.com/inward/record.url?scp=85132277351&partnerID=8YFLogxK

U2 - 10.1109/Control55989.2022.9781437

DO - 10.1109/Control55989.2022.9781437

M3 - Conference proceeding

SN - 978-1-6654-5201-4

SP - 56

EP - 59

BT - 2022 UKACC 13th International Conference on Control (CONTROL)

PB - IEEE

T2 - UKACC Control Conference 2022

Y2 - 20 April 2022 through 22 April 2022

ER -

Continuous Time Parameter Estimation Method for a Railway Track Switch Actuator

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this