Abstract
The subject matter of the paper is an analysis of chosen results of acceleration signals measurements obtained from the prototype of the Rail Vehicle and Rail Track Monitoring System. This prototype of the monitoring system measures acceleration signals on designated elements of the electric multiple unit (EMU). These elements comprise components such as: bogie frames, wheels and bodies of railway vehicles. The analysis was prepared on the basis of rail vehicle journeys on sample sections of the Polish National Railways (PKP Polskie Linie Kolejowe S.A.) network. The products of measurements were converted to values of specific diagnostic parameters (statistical parameters), e.g. an amplitude (zero-peak), a root mean square, a kurtosis coefficient, an interquartile range. Comparing the values of diagnostic parameters with their permissible values allows the monitoring of distinctive dynamic behaviors of rail vehicles and track condition, as well as the temperature of the bearings of rail vehicle wheelsets. It also allows the determining of the condition of rail vehicle structure. The permissible values of certain diagnostics parameters could not be obtained from the literature. Therefore, this paper in part presents a way of obtaining these permissible values. The main intention of the analysis described here is to determine the usability of various diagnostic parameters and to identify the course of further research related to condition monitoring and diagnostics of rail vehicles and tracks.
Highlights
Rail transport, as one of the main branches of transportation, has recently been dynamically developed in European countries
As a part of research addressing the problem of fault detection in rail vehicle suspension, a few more systems and methods are mentioned in the literature presented over the last twenty years
For this study the author chose the method based on the distribution of measured values of the diagnostic parameter, because the determination of the permissible value based on the distribution of the diagnostic parameter was used in cases, where no pre-failure mean value of a diagnostic parameter is in disposal, i.e. when a test could not be executed until the breakdown of the researched object, which is to be dealt with under supervised exploitation considered hereby
Summary
As one of the main branches of transportation, has recently been dynamically developed in European countries. The diagnostic difficulties, mentioned above, make the issue of monitoring of the technical condition of rail vehicle and track with use of signals registered on a vehicle a complex problem. As a part of research addressing the problem of fault detection in rail vehicle suspension, a few more systems and methods are mentioned in the literature presented over the last twenty years. Authors of [28] developed suspension diagnostics based on the vehicle half-car model These methods were based on the extended filtration of signals with use of EKF filter (Extended Kalman Filter) and RBPF (Rao-Blackwellised Particle Filter), [10, 29, 30]. Last section consists of summary of the research and plans announced for the future research
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