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EN
This paper presents an insight into mathematical analysis of dynamic models of the vehicle–track system. After identification of its advantages and disadvantages, an improved three-dimensional "vehicle–track" system of a mathematical model is presented. It not only assesses the influence of realistic track irregularities but also on all elements of the railway structure: rail, rail pads, sleepers, ballasts, and subballast parameters on the wagon’s movement smoothness. Based on the expanded mathematical model of the “vehicle–track” dynamic system, the dynamic process of the wagon was theoretically studied, and the effect of track with irregularities on the vibrations of the wagon elements was studied. The final conclusions and recommendations are presented.
EN
A model describing an interaction between a wheel flat and rail has been presented in the paper. The model is based on the literature of the subject enumerated in the references. An importance of the model for the flat wheel detection devices evaluation has been shown.
PL
Artykuł przedstawia model opisujący oddziaływanie między kołem ze spłaszczeniem i szyną. Model jest oparty na informacjach zaczerpniętych z literatury przedmiotu. Wykazano użyteczność modelu do oceny urządzeń wykrywających płaskie miejsca.
3
Content available remote Automatic detection of flats on the rolling stock wheels
EN
Purpose: The goal of this work was increasing safety of tram, metro and trams operation. Design/methodology/approach: The accelerometers were fixed directly to the rail to provide the system with the best defect signal quality. Analysis of the acoustic signals collected using microphones proved that too much of the background noise limited their usefulness. Findings: It has been proven that all wheel geometry defects can be reliably detected and classified according to the experimentally established defect categories. Research limitations/implications: Exact measurements of the wheel defect geometry may be possible only after collecting huge signals time series along with the wheel measurements taken with other methods to reveal the relationships between them. This goal is hard to achieve, as the system performs already very well, and such experiments would be very costly and time consuming. Practical implications: Integrated wheel geometrical data collected from the wheel ovality, flat spots, and build-up detection system along with the wheel profile information have eliminated all derailments due to faulty wheel geometry. Originality/value: The system presented is the first wheel monitoring application in Poland, its unique feature is that it can be used at low speeds, like those allowed in depots.
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