Publication detail

Condition monitoring and trend analysis of railway turnouts based on in-situ accelerometer measurements

KRČ, R. AMBUR, R. HADAŠ, Z. OLABY, O. VUKUŠIČ, I. PLÁŠEK, O. ENTEZAMI, M. DIXON, R.

Original Title

Condition monitoring and trend analysis of railway turnouts based on in-situ accelerometer measurements

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

High dynamic forces at railway switches and crossings (S&C) are the primary cause of frequent defect formation. Regular acquisition of onsite sensory data aids condition evaluation or maintenance planning, which subsequently mitigates problems of unexpected malfunction of S&C components. Accelerometer data collected by in-situ sensors in UK and Czech Republic were used in this research for defining important metrics and validating prediction models. A number of metrics can be calculated from collected signals to provide information about the condition of S&C and its components. Change of these parameters over time is revealed by trend analysis and may signalize increased material deterioration or formation of a defect. Trend analysis methods span from simple regression to more advanced machine learning models for time series prediction and are listed in this paper. Evaluation of proposed models is performed on collected data, and validation metrics are discussed. This paper provides a baseline for the development of a S&C condition monitoring system and overviews techniques for analysis of large amounts of data collected by automatic sensory systems.

Keywords

Railway Switches and Crossings, Accelerometer Sensors, Trend Analysis, Predictive Maintenance

Authors

KRČ, R.; AMBUR, R.; HADAŠ, Z.; OLABY, O.; VUKUŠIČ, I.; PLÁŠEK, O.; ENTEZAMI, M.; DIXON, R.

Released

22. 8. 2022

Publisher

Civil-Comp Press

Location

Edinburgh, United Kingdom

Pages count

10

URL

BibTex

@inproceedings{BUT179439,
  author="KRČ, R. and AMBUR, R. and HADAŠ, Z. and OLABY, O. and VUKUŠIČ, I. and PLÁŠEK, O. and ENTEZAMI, M. and DIXON, R.",
  title="Condition monitoring and trend analysis of railway turnouts based on in-situ accelerometer measurements",
  booktitle="PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE",
  year="2022",
  number="CCC 1",
  pages="10",
  publisher="Civil-Comp Press",
  address="Edinburgh, United Kingdom",
  doi="10.4203/ccc.1.5.7",
  url="https://www.ctresources.info/ccc/paper.html?id=9502"
}