Residual-based fault detection method: application to railway switch & crossing (S&C) system

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

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

3 Citations (Scopus)
276 Downloads (Pure)

Abstract

This paper proposes a model-based fault detection (FD) method with application to railway switch & crossing (S&C) 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 S&C 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 languageEnglish
Title of host publication2019 19th International Conference on Control, Automation and Systems (ICCAS)
PublisherIEEE Xplore
Pages1228-1233
Number of pages6
ISBN (Electronic)978-89-93215-18-2, 978-89-93215-17-5
ISBN (Print)978-1-7281-5516-6
DOIs
Publication statusPublished - 30 Jan 2020
Event19th International Conference on Control, Automation and Systems (ICCAS 2019) - Jeju, Jeju, Korea, Republic of
Duration: 15 Oct 201918 Oct 2019
Conference number: 19th
http://2019.iccas.org/

Publication series

Name International Conference on Control, Automation and Systems (ICCAS)
PublisherIEEE
ISSN (Print)1598-7833
ISSN (Electronic)2642-3901

Conference

Conference19th International Conference on Control, Automation and Systems (ICCAS 2019)
Abbreviated titleICCAS 2019
Country/TerritoryKorea, Republic of
CityJeju
Period15/10/1918/10/19
Internet address

Keywords

  • Railway switch & crossing (S&C) system
  • condition monitoring system
  • fault detection
  • model-based technique

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