Detail publikace

Train Type Identification at S&C

KRATOCHVÍLOVÁ, M. PODROUŽEK, J. APELTAUER, J. VUKUŠIČ, I. PLÁŠEK, O.

Originální název

Train Type Identification at S&C

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The presented paper concerns the development of condition monitoring system for railroad switches and crossings that utilizes vibration data. Successful utilization of such system requires a robust and efficient train type identification. Given the complex and unique dynamical response of any vehicle track interaction, the machine learning was chosen as a suitable tool. For design and validation of the system, real on-site acceleration data were used. The resulting theoretical and practical challenges are discussed.

Klíčová slova

SVM, Train type Identification; Railway Switches and Crossings; Accelerometer Data

Autoři

KRATOCHVÍLOVÁ, M.; PODROUŽEK, J.; APELTAUER, J.; VUKUŠIČ, I.; PLÁŠEK, O.

Vydáno

24. 11. 2020

Nakladatel

Hindawi

ISSN

0197-6729

Periodikum

JOURNAL OF ADVANCED TRANSPORTATION

Ročník

2020

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.hindawi.com/journals/jat/2020/8849734/

Plný text v Digitální knihovně

http://hdl.handle.net/11012/196331

BibTex

@article{BUT168010,
  author="Martina {Floriánová} and Jan {Podroužek} and Jiří {Apeltauer} and Ivan {Vukušič} and Otto {Plášek}",
  title="Train Type Identification at S&C",
  journal="JOURNAL OF ADVANCED TRANSPORTATION",
  year="2020",
  volume="2020",
  number="1",
  pages="1--12",
  doi="10.1155/2020/8849734",
  issn="0197-6729",
  url="https://www.hindawi.com/journals/jat/2020/8849734/"
}