Train Type Identification at S&C

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.

Language

  • English

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Filing Info

  • Accession Number: 01760642
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 11 2020 2:21PM