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Title: Improvement of Inspection System for Common Crossings by Track Side Monitoring and Prognostics
Authors: Sysyn, Mykola
Nabochenko, Olga
Kovalchuk, Vitalii
Gruen, Dimitri
Pentsak, Andriy
Keywords: railway common crossing
track-side monitoring
structural health indicator
Lasso regularization
Issue Date: 2020
Publisher: Techno-Press, South Korea
Citation: Sysyn M., Nabochenko O., Kovalchuk V., Gruen D., Pentsak A. Improvement of Inspection System for Common Crossings by Track Side Monitoring and Prognostics. Structural Monitoring and Maintenance. Vol. 6, iss. 3. P. 219–235. DOI: 10.12989/smm.2019.6.3.219.
Abstract: EN: Scheduled inspections of common crossings are one of the main cost drivers of railway maintenance. Prognostics and health management (PHM) approach and modern monitoring means offer many possibilities in the optimization of inspections and maintenance. The present paper deals with data driven prognosis of the common crossing remaining useful life (RUL) that is based on an inertial monitoring system. The problem of scheduled inspections system for common crossings is outlined and analysed. The proposed analysis of inertial signals with the maximal overlap discrete wavelet packet transform (MODWPT) and Shannon entropy (SE) estimates enable to extract the spectral features. The relevant features for the acceleration components are selected with application of Lasso (Least absolute shrinkage and selection operator) regularization. The features are fused with time domain information about the longitudinal position of wheels impact and train velocities by multivariate regression. The fused structural health (SH) indicator has a significant correlation to the lifetime of crossing. The RUL prognosis is performed on the linear degradation stochastic model with recursive Bayesian update. Prognosis testing metrics show the promising results for common crossing inspection scheduling improvement.
Description: M. Sysyn: ORCID 0000-0001-6893—0018, O. Nabochenko: ORCID 0000-0001-6048-2556, V. Kovalchuk: ORCID 0000-0003-4350-1756
ISSN: 2288-6605 (print)
2288-6613 (online)
Other Identifiers: DOI: 10.12989/smm.2019.6.3.219
Appears in Collections:Статті КРС (ЛФ)

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