Detail publikačního výsledku

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.

Originální název

Smart Autonomous Diagnostics of Switches and Crossings

Anglický název

Smart Autonomous Diagnostics of Switches and Crossings

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Vydáno

01.09.2024

Nakladatel

Civil-Comp Limited 2023

Místo

Praha

Kniha

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

ISSN

2753-3239

Periodikum

Civil-Comp Conferences

Svazek

CCC7

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

13

Strany počet

13

URL

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"
}