MACHINE LEARNING BASED TRAIN TYPE IDENTIFICATION AT RAILROAD SWITCH USING VIBRATION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F20%3APU135645" target="_blank" >RIV/00216305:26110/20:PU135645 - isvavai.cz</a>
Result on the web
<a href="http://www.juniorstav.cz/wp-content/uploads/2020/02/Sbornik_Komplet_FINAL-uprava.pdf" target="_blank" >http://www.juniorstav.cz/wp-content/uploads/2020/02/Sbornik_Komplet_FINAL-uprava.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
MACHINE LEARNING BASED TRAIN TYPE IDENTIFICATION AT RAILROAD SWITCH USING VIBRATION
Original language description
This work concerns the use of machine learning to identify trains passing through S&C based on the acceleration signal measured in the track. This system can be use in the future, for example, to track changes in the stiffness of the bearing structure over time and thus predict the need for maintenance. Several methods of machine learning were compared based on their accuracy, time and computational demands for a given problem and the optimal method (Support Vector Machine) was implemented on real data. Because of the small amount of usable data, the bootstrapping method was used to generate training and test datasubsets.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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