Publication result detail

Smart Autonomous Diagnostics of Switches and Crossings

RAIF, L.; PLÁŠEK, O.; KOHOUT, M.; SALAJKA, V.; PODROUŽEK, J.; VÁGNER, J.; HÁBA, A.; NAVRÁTIL, P.; VYHLÍDAL, M.; VUKUŠIČ, I.; KRČ, R.; HADAŠ, Z.

Original Title

Smart Autonomous Diagnostics of Switches and Crossings

English Title

Smart Autonomous Diagnostics of Switches and Crossings

Type

Paper in proceedings (conference paper)

Original Abstract

This paper shows the results of the Turnout 4.0 applied research project. The project focused on the development of an autonomous diagnostic system. A modular diagnostic system is described, including a sensor part installed on the crossing and the vehicle, data acquisition and storage in database systems, evaluation of signals by two systems – Train Identification System and Diagnostic Switches & Crossings – using artificial intelligence algorithms, Machine Learning and Bayesian statistical analysis. The extension of the system is the determination of the final score, describing the technical condition of the crossing, evaluating the score development over time, and displaying the monitoring results to the infrastructure manager.

English abstract

This paper shows the results of the Turnout 4.0 applied research project. The project focused on the development of an autonomous diagnostic system. A modular diagnostic system is described, including a sensor part installed on the crossing and the vehicle, data acquisition and storage in database systems, evaluation of signals by two systems – Train Identification System and Diagnostic Switches & Crossings – using artificial intelligence algorithms, Machine Learning and Bayesian statistical analysis. The extension of the system is the determination of the final score, describing the technical condition of the crossing, evaluating the score development over time, and displaying the monitoring results to the infrastructure manager.

Keywords

permanent-way, switches & crossings, autonomous diagnostic, artificial intelligence, machine learning, structural health monitoring

Key words in English

permanent-way, switches & crossings, autonomous diagnostic, artificial intelligence, machine learning, structural health monitoring

Authors

RAIF, L.; PLÁŠEK, O.; KOHOUT, M.; SALAJKA, V.; PODROUŽEK, J.; VÁGNER, J.; HÁBA, A.; NAVRÁTIL, P.; VYHLÍDAL, M.; VUKUŠIČ, I.; KRČ, R.; HADAŠ, Z.

Released

01.09.2024

Publisher

Civil-Comp Limited 2023

Location

Praha

Book

PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE

ISBN

2753-3239

Periodical

Civil-Comp Conferences

Volume

CCC7

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

13

Pages count

13

URL

https://www.ctresources.info/ccc/download/ccc.10179.pdf

BibTex

@inproceedings{BUT198403,
  author="Lukáš {Raif} and Otto {Plášek} and Martin {Kohout} and Vlastislav {Salajka} and Jan {Podroužek} and Jakub {Vágner} and Aleš {Hába} and Petr {Navrátil} and Michal {Vyhlídal} and Ivan {Vukušič} and Rostislav {Krč} and Zdeněk {Hadaš}",
  title="Smart Autonomous Diagnostics of Switches and Crossings",
  booktitle="PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE",
  year="2024",
  journal="Civil-Comp Conferences",
  volume="CCC7",
  pages="1--13",
  publisher="Civil-Comp Limited 2023",
  address="Praha",
  doi="10.4203/ccc.7.7.15",
  issn="2753-3239",
  url="https://www.ctresources.info/ccc/download/ccc.10179.pdf"
}