Details

Autor(en) / Beteiligte

• Kratochvílová, Martina
• Podroužek, Jan
• Apeltauer, Jiří
• Vukušič, Ivan
• Plášek, Otto
• Dolezel, Petr
• Petr Dolezel

Titel

Train Type Identification at S&C

Ist Teil von

• Journal of advanced transportation, 2020-11, Vol.2020, p.1-12

Ort / Verlag

London: Hindawi

Erscheinungsjahr

2020

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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.