Communications - Scientific Letters of the University of Zilina 2019, 21(3):77-84 | DOI: 10.26552/com.C.2019.3.77-84

Common Crossing Structural Health Analysis with Track-Side Monitoring

Mykola Sysyn1, Olga Nabochenko2, Franziska Kluge1, Vitalii Kovalchuk2, Andriy Pentsak3
1 Institute of Railway Systems and Public Transport, Technical University of Dresden, Germany
2 Department of the Rolling stock and Track, Lviv Branch of Dniprovsk National University of Railway Transport, Lviv, Ukraine
3 Department of Construction Industry, Lviv Polytechnic National University, Lviv, Ukraine

Track-side inertial measurements on common crossings are the object of the present study. The paper deals with the problem of measurement's interpretation for the estimation of the crossing structural health. The problem is manifested by the weak relation of measured acceleration components and impact lateral distribution to the lifecycle of common crossing rolling surface. The popular signal processing and machine learning methods are explored to solve the problem.

The Hilbert-Huang Transform (HHT) method is used to extract the time-frequency features of acceleration components. The method is based on Ensemble Empirical Mode Decomposition (EEMD) that is advantageous to the conventional spectral analysis methods with higher frequency resolution and managing nonstationary nonlinear signals. Linear regression and Gaussian Process Regression are used to fuse the extracted features in one structural health (SH) indicator and study its relation to the crossing lifetime. The results have shown the significant relation of the derived with GPR indicator to the lifetime.

Keywords: common crossing; structural health monitoring; track-side inertial measurements; rolling contact fatigue; Ensemble Empirical Mode Decomposition; Hilbert-Huang transform; Gaussian Process Regression

Received: April 18, 2019; Accepted: May 27, 2019; Published: August 15, 2019  Show citation

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Sysyn, M., Nabochenko, O., Kluge, F., Kovalchuk, V., & Pentsak, A. (2019). Common Crossing Structural Health Analysis with Track-Side Monitoring. Communications - Scientific Letters of the University of Zilina, 21(3), 77-84. doi: 10.26552/com.C.2019.3.77-84
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