Abstract
Distance estimation is necessary in railway track condition monitoring to evaluate the state of the track and locate faults. To do that, this paper proposes a novel method that combines an Inertial Measurement Unit (IMU) and Global Navigation Satellite System (GNSS) to estimate distance and then correct it using track geometry features such as crosslevel as a reference. This correction is used to align the track data accurately, which helps to observe the evolution of the track over a year and to evaluate the effects of track features such as tunnels, bridges, or switches and crosses, demonstrating that the distance estimation method is reliable and allows supervision of the track.
Original language | English |
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Title of host publication | 2022 UKACC 13th International Conference on Control (CONTROL) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 18-23 |
Number of pages | 6 |
ISBN (Electronic) | 9781665452007 |
ISBN (Print) | 9781665452014 (PoD) |
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 | UKACC International Conference on Control (CONTROL) |
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Publisher | IEEE |
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
Publisher Copyright:© 2022 IEEE.
Keywords
- condition monitoring
- crosslevel
- in-service vehicle
- Inertial sensors
- railway
- track monitoring
ASJC Scopus subject areas
- Control and Systems Engineering
- Mechanical Engineering
- Control and Optimization