Common Crossing Fault Prediction with Track Based Inertial Measurements: Statistical vs. Mechanical Approach
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Akadémiai Kiadó, Hungary
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
Keywords
common crossing, rolling surface fatigue, inertial measurement systems, fault detection, predictive maintenance, t-SNE, КРС (ЛФ)
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.