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

Anglický název

Train Type Identification at S&C

Jazyk

en

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.

Anglický 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.

Plný text v Digitální knihovně

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

Dokumenty

BibTex 


@article{BUT168010,
  author="Martina {Pálková} and Jan {Podroužek} and Jiří {Apeltauer} and Ivan {Vukušič} and Otto {Plášek}",
  title="Train Type Identification at S&C",
  annote="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.",
  address="Hindawi",
  chapter="168010",
  doi="10.1155/2020/8849734",
  howpublished="online",
  institution="Hindawi",
  number="1",
  volume="2020",
  year="2020",
  month="november",
  pages="1--12",
  publisher="Hindawi",
  type="journal article in Web of Science"
}