Track Irregularity Assessment in High-Speed Rail by Incorporating Carriage-Body Acceleration with Transfer Function

Abstract

The determination of the precise track irregularity with unfavorable wavelength, which shall induce vehicle’s violent vibration in terms of the vehicle’s speeds, still challenges the researchers. This study proposes a feasible study of assessing the track irregularity by using the transfer function and the measured carriage-body acceleration by combining the ARX model with state space model. The ARX model and state space model are constructed using system identification to obtain the transfer relation between the track irregularity and the carriage-body acceleration, respectively. The model’s parameters are estimated by the measured data from the high-speed China Railway Comprehensive Inspection Train (CRCIT). The correlation value between the predicted and measured carriage-body acceleration shows that both models can effectively represent the transfer characteristics between the track irregularity and the carriage-body acceleration. Furthermore, the models can help assess the proportion of the vibration caused by track irregularity with the specific wavelengths and determine the track irregularity with unfavorable wavelength.

Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning

“…Coherence analysis is a method to study the dependence of the excitation and response of the vehicle‐track system in the spatial frequency domain (Lei et al., 2020). In the coherence analysis, the dependence between excitation and response is usually analyzed by the coherence coefficient, which is defined as follows (Niu et al., 2020): $$\begin{equation}{r_{xy}}\left( f \right) = \frac{{{{\left| {{G_{xy}}\left( f \right)} \right|}^2}}}{{{G_{xx}}\left( f \right) \cdot {G_{yy}}\left( f \right)}}\;\end{equation}$$where $${G_{xx}}( f )$$ and $${G_{yy}}( f )$$ denote the self‐power spectrum of x ( t ) and y ( t ), respectively, and $${G_{xy}}( f )$$ is the cross‐power spectrum of x ( t ) and y ( t ), that is, the Fourier transform of the cross‐correlation function of x ( t ) and y ( t ). The value of $${r_{xy}}( f )$$ is between 0 and 1.…”

“…In the coherence analysis, the dependence between excitation and response is usually analyzed by the coherence coefficient, which is defined as follows (Niu et al, 2020):…”

A combined method to identify the rail irregularity at welded region

“…Zhang et al (2022) developed a multi-level evidence reasoning multi-level evidential reasoning rule model to establish the nonlinear causal relationship between vibration signals and track vertical irregularities. Niu et al (2020) combined ARX model and state space model to study the transfer relationship between track irregularity and vehicle acceleration. Li et al (2009) used dynamic wheel-rail forces to evaluated the vertical track geometry quality.…”

Design, Development and Field Trial Evaluation of An intelligent Asset Management System For Railway Networks

“…1: The Hellenic Train Railway network of the system. Currently, the measurements that can be used are classified in two main categories including [2]:…”