Train Type Identification at S&C

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F20%3APU138550" target="_blank" >RIV/00216305:26110/20:PU138550 - isvavai.cz</a>
Result on the web
<a href="https://www.hindawi.com/journals/jat/2020/8849734/" target="_blank" >https://www.hindawi.com/journals/jat/2020/8849734/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2020/8849734" target="_blank" >10.1155/2020/8849734</a>

Result language
angličtina
Original language name
Train Type Identification at S&C
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20101 - Civil engineering

Project
<a href="/en/project/CK01000091" target="_blank" >CK01000091: Turnout 4.0</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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