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.
Train Type Identification at S&C
2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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TRAIN TYPE IDENTIFICATION SYSTEM, AND TRAIN TYPE IDENTIFICATION METHOD
Europäisches Patentamt | 2017
|Tema Archiv | 1973
|Tema Archiv | 1973
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