Train Type Identification at S&C
MetadataShow full item record
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.
Document typePeer reviewed
Document versionFinal PDF
SourceJOURNAL OF ADVANCED TRANSPORTATION. 2020, vol. 2020, issue 1, p. 1-12.