Observations on track evolution from onboard inertial measurements

Alfredo Peinado Gonzalo, Mani Entezami, Clive Roberts, Paul Weston, Graeme Yeo, Richard Horridge, Edward Stewart, Mick Hayward, Matthew Rippin

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

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 languageEnglish
Title of host publication2022 UKACC 13th International Conference on Control (CONTROL)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages18-23
Number of pages6
ISBN (Electronic)9781665452007
ISBN (Print)9781665452014 (PoD)
DOIs
Publication statusPublished - 27 May 2022
Event13th UKACC International Conference on Control, CONTROL 2022 - Plymouth, United Kingdom
Duration: 20 Apr 202222 Apr 2022

Publication series

NameUKACC International Conference on Control (CONTROL)
PublisherIEEE

Conference

Conference13th UKACC International Conference on Control, CONTROL 2022
Country/TerritoryUnited Kingdom
CityPlymouth
Period20/04/2222/04/22

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

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