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.
Original language | English |
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Title of host publication | 2022 UKACC 13th International Conference on Control (CONTROL) |
Publisher | IEEE |
Pages | 56-59 |
Number of pages | 4 |
ISBN (Electronic) | 9781665452007 |
ISBN (Print) | 9781665452014 |
DOIs | |
Publication status | Published - 27 May 2022 |
Event | 13th UKACC International Conference on Control, CONTROL 2022 - Plymouth, United Kingdom Duration: 20 Apr 2022 → 22 Apr 2022 |
Publication series
Name | Proceedings of the UKACC International Conference on Control |
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Publisher | IEEE |
ISSN (Print) | 2831-5219 |
ISSN (Electronic) | 2766-6522 |
Conference
Conference | 13th UKACC International Conference on Control, CONTROL 2022 |
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Country/Territory | United Kingdom |
City | Plymouth |
Period | 20/04/22 → 22/04/22 |
Bibliographical note
Acknowledgment: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
- Railway track switch
- Refined instrumental variable method
ASJC Scopus subject areas
- Control and Systems Engineering
- Mechanical Engineering
- Control and Optimization