Please use this identifier to cite or link to this item: http://eadnurt.diit.edu.ua/jspui/handle/123456789/12196
Title: Common Crossing Fault Prediction with Track Based Inertial Measurements: Statistical vs. Mechanical Approach
Authors: Sysyn, Mykola
Gerber, Ulf
Nabochenko, Olga
Kovalchuk, Vitalii
Keywords: common crossing
rolling surface fatigue
inertial measurement systems
fault detection
predictive maintenance
t-SNE
КРС (ЛФ)
Issue Date: 2019
Publisher: Akadémiai Kiadó, Hungary
Citation: Sysyn M., Gerber U., Nabochenko O., Kovalchuk V. Common Crossing Fault Prediction with Track Based Inertial Measurements: Statistical vs. Mechanical Approach. Pollack Periodica. 2019 Vol. 14, iss. 2. P. 15–26. DOI: 10.1556/606.2019.14.2.2.
Abstract: EN: The analysis of track based inertial measurements for common crossing fault detection and prediction is presented in the paper. The measurement of spatial acceleration in common crossing spike and impact position during overall lifecycle are studied regarding to rolling surface fatigue degradation. Two approaches for retrieving the relation of inertial parameters to common crossing lifetime are proposed. The first one is based on the statistical learning method - t-SNE algorithm that helps to find out similarities in measured dataset. The second one is a mechanical approach that handles the data with a fatigue and contact models. Both approaches allow the significant improvement of the common crossing fault detection as well as its early prediction.
Description: M. Sysyn: ORCID 0000-0001-6893—0018, O. Nabochenko: ORCID 0000-0001-6048-2556, V. Kovalchuk: ORCID 0000-0003-4350-1756
URI: http://eadnurt.diit.edu.ua/jspui/handle/123456789/12196
ISSN: 1788-1994 (print)
Other Identifiers: DOI: 10.1556/606.2019.14.2.2
Appears in Collections:Статті КРС (ЛФ)

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