Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System

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

doi:10.23919/ICCAS47443.2019.8971747

Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System

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

University of Birmingham

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

13 Citations (Scopus)

Abstract

This paper proposes a model-based fault detection (FD) method with application to railway switch crossing (SC) systems. These systems are safety critical assets in the rail network and they daily exposed to harsh working conditions and severe environment, which make them more vulnerable to failures and breakdowns. Therefore, it is critical to implement a condition monitoring (CM) technique to enhance the reliability and the availability of these SC systems. To-the-end of reducing the scheduled maintenance process and decreasing the possible number of delays and/or accidents. This paper thus, proposes a simple model-based technique, a modified residual-based technique, which can be implemented in the real rail network for FD with application to railway electro-mechanical switch system.

Original language	English
Title of host publication	ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
Publisher	IEEE Computer Society
Pages	1228-1233
Number of pages	6
ISBN (Electronic)	9788993215175
ISBN (Print)	9781728155166
DOIs	https://doi.org/10.23919/ICCAS47443.2019.8971747
Publication status	Published - 30 Jan 2020
Externally published	Yes
Event	19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of Duration: 15 Oct 2019 → 18 Oct 2019

Publication series

Name	International Conference on Control, Automation and Systems
Volume	2019-October
ISSN (Print)	1598-7833

Conference

Conference	19th International Conference on Control, Automation and Systems, ICCAS 2019
Country/Territory	Korea, Republic of
City	Jeju
Period	15/10/19 → 18/10/19

Bibliographical note

Publisher Copyright:
© 2019 Institute of Control, Robotics and Systems - ICROS.

Funding Information: 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.

Funding

Funders	Funder number
Europe's Rail
Horizon Europe	730849

Keywords

condition monitoring system
fault detection
model-based technique
Railway switch crossing (SC) system

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.23919/ICCAS47443.2019.8971747

Cite this

Hamadache, M., Dutta, S., Ambur, R., Olaby, O., Stewart, E., & Dixon, R. (2020). Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System. In ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings (pp. 1228-1233). Article 8971747 (International Conference on Control, Automation and Systems; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.23919/ICCAS47443.2019.8971747

Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System. / Hamadache, Moussa; Dutta, Saikat; Ambur, Ramakrishnan et al.
ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings. IEEE Computer Society, 2020. p. 1228-1233 8971747 (International Conference on Control, Automation and Systems; Vol. 2019-October).

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

Hamadache, M, Dutta, S, Ambur, R, Olaby, O, Stewart, E & Dixon, R 2020, Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System. in ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings., 8971747, International Conference on Control, Automation and Systems, vol. 2019-October, IEEE Computer Society, pp. 1228-1233, 19th International Conference on Control, Automation and Systems, ICCAS 2019, Jeju, Korea, Republic of, 15/10/19. https://doi.org/10.23919/ICCAS47443.2019.8971747

Hamadache M, Dutta S, Ambur R, Olaby O, Stewart E, Dixon R. Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System. In ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings. IEEE Computer Society. 2020. p. 1228-1233. 8971747. (International Conference on Control, Automation and Systems). doi: 10.23919/ICCAS47443.2019.8971747

@inproceedings{754c13ec5bcf45e88ae3a4fa8dd88ddb,

title = "Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System",

abstract = "This paper proposes a model-based fault detection (FD) method with application to railway switch crossing (SC) systems. These systems are safety critical assets in the rail network and they daily exposed to harsh working conditions and severe environment, which make them more vulnerable to failures and breakdowns. Therefore, it is critical to implement a condition monitoring (CM) technique to enhance the reliability and the availability of these SC systems. To-the-end of reducing the scheduled maintenance process and decreasing the possible number of delays and/or accidents. This paper thus, proposes a simple model-based technique, a modified residual-based technique, which can be implemented in the real rail network for FD with application to railway electro-mechanical switch system.",

keywords = "condition monitoring system, fault detection, model-based technique, Railway switch crossing (SC) system",

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

note = "Publisher Copyright: {\textcopyright} 2019 Institute of Control, Robotics and Systems - ICROS. Funding Information: 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. ; 19th International Conference on Control, Automation and Systems, ICCAS 2019 ; Conference date: 15-10-2019 Through 18-10-2019",

year = "2020",

month = jan,

day = "30",

doi = "10.23919/ICCAS47443.2019.8971747",

language = "English",

isbn = "9781728155166",

series = "International Conference on Control, Automation and Systems",

publisher = "IEEE Computer Society",

pages = "1228--1233",

booktitle = "ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings",

address = "United States",

}

TY - GEN

T1 - Residual-based Fault Detection Method

T2 - 19th International Conference on Control, Automation and Systems, ICCAS 2019

AU - Hamadache, Moussa

AU - Dutta, Saikat

AU - Ambur, Ramakrishnan

AU - Olaby, Osama

AU - Stewart, Edward

AU - Dixon, Roger

N1 - Publisher Copyright: © 2019 Institute of Control, Robotics and Systems - ICROS. Funding Information: 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.

PY - 2020/1/30

Y1 - 2020/1/30

N2 - This paper proposes a model-based fault detection (FD) method with application to railway switch crossing (SC) systems. These systems are safety critical assets in the rail network and they daily exposed to harsh working conditions and severe environment, which make them more vulnerable to failures and breakdowns. Therefore, it is critical to implement a condition monitoring (CM) technique to enhance the reliability and the availability of these SC systems. To-the-end of reducing the scheduled maintenance process and decreasing the possible number of delays and/or accidents. This paper thus, proposes a simple model-based technique, a modified residual-based technique, which can be implemented in the real rail network for FD with application to railway electro-mechanical switch system.

AB - This paper proposes a model-based fault detection (FD) method with application to railway switch crossing (SC) systems. These systems are safety critical assets in the rail network and they daily exposed to harsh working conditions and severe environment, which make them more vulnerable to failures and breakdowns. Therefore, it is critical to implement a condition monitoring (CM) technique to enhance the reliability and the availability of these SC systems. To-the-end of reducing the scheduled maintenance process and decreasing the possible number of delays and/or accidents. This paper thus, proposes a simple model-based technique, a modified residual-based technique, which can be implemented in the real rail network for FD with application to railway electro-mechanical switch system.

KW - condition monitoring system

KW - fault detection

KW - model-based technique

KW - Railway switch crossing (SC) system

UR - https://www.scopus.com/pages/publications/85076086913

U2 - 10.23919/ICCAS47443.2019.8971747

DO - 10.23919/ICCAS47443.2019.8971747

M3 - Conference proceeding

AN - SCOPUS:85076086913

SN - 9781728155166

T3 - International Conference on Control, Automation and Systems

SP - 1228

EP - 1233

BT - ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings

PB - IEEE Computer Society

Y2 - 15 October 2019 through 18 October 2019

ER -

Residual-based Fault Detection Method: Application to Railway Switch Crossing (SC) System

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this