Modern Railway Engineering

Hessami, Ali G.

doi:10.5772/68005

Cited by 7 publications

(1 citation statement)

References 62 publications

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“…It has been shown that damage longer than 3 cm significantly changes the quantitatively characterized vibrations during a tram ride. The paper (Jing, 2018) discusses the influence of train speed, length of a flat spot and axle load on the wheelrail impact reactions. It has been shown that with an increase in the length of flat spot, the maximum impact force, the von Mises equivalent stresses and the XY shear stresses increase, and the maximum equivalent plastic strains decrease accordingly.…”

Section: Introduction and Main Theoretical Aspectsmentioning

confidence: 99%

Advanced acoustic signal analysis used for wheel-flat detection

Komorski

Szymański

Nowakowski

et al. 2021

Lat. Am. j. solids struct.

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One of the most important aspects in the operation of rail vehicles is the implementation of transport while ensuring safety and comfort of passengers. Technical condition of the wheel rolling surfaces has a direct impact on these factors. These elements are subject to wear and tear in a continuous and discrete form. One of the discrete wear forms is the wheel-flat on wheel rolling surfaces that generate impulse noise. This translates into a significant deterioration of vibroacoustic comfort, and in extreme cases also to a greater risk associated with e.g. derailment of the vehicle. Therefore, it is desirable in particular by the rolling stock operator to carry out cyclic diagnostics and monitoring of the condition of wheel rolling surfaces. This paper is a continuation in a series of research articles carried out by the authors related to vibroacoustic diagnostics of wheel rolling surfaces in light rail vehicles. As part of this article, acoustic measurements were carried out at a dedicated track-side system during so-called pass-by tests. Acoustic signals were analyzed in accordance with the Fourier and Hilbert transforms. Additionally, the main assumptions of vibroacoustic diagnostics and analyses of point measures were used. This allowed for the development of yet another way of monitoring the occurrence of the problem of wheel flats in rail vehicles.

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Section: Introduction and Main Theoretical Aspectsmentioning

confidence: 99%

Advanced acoustic signal analysis used for wheel-flat detection

Komorski

Szymański

Nowakowski

et al. 2021

Lat. Am. j. solids struct.

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Modern Systems of Train Traffic Interval Control on World Railways

Baturin,

Osipov

2023

Mir transp.

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The review study is devoted to the analysis of the modern systems aimed at enhancing or replacing existing systems of rail automatics and refers to ERTMS (European Union), CTCS (PRC), ATACS (Japan), PTC (Unites States) and ABTS-MSH (Russian Federation). The review study discusses the main approaches and principles applied during the research and development of train traffic interval control systems, modern trends in their developments on public railways in Russia and other countries with the account for the scale of their adoption, offers tentative identification of problems that have arisen at the stages of implementation and operation and evaluation of the outlook for their further improvements.While each system merits detailed study, the prevailed approach focused on comparative system analysis and revealing differences and common tendencies regarding their further evolution.

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Railway Wheel Flat Recognition and Precise Positioning Method Based on Multisensor Arrays

et al. 2020

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Featured Application: Wheel flats are one of the most threatening defects during the service lifespan of railway vehicle wheels. This study proposes a new long-term monitoring method for wheel flats based on multisensor arrays. The dynamic strain responses of rails are captured by sensor arrays mounted on the rail web, ensuring that all the wheels are assessed during the train passage. Through data fusion among multiple sensors, the method locates the specific position of wheel defects. This study provides potential guidance for the maintenance of vehicles soon after the occurrences of defects.Abstract: Wheel flats have become a major problem affecting the long-term service of railway systems. Wheels with flats create intermittent impact loads to trains and rails. This not only accelerates the deterioration of vehicle and track components but also leads to abnormal wheel-rail contact conditions. An effective method for detecting wheel conditions is urgently needed to ensure the operation of the railway and provide guidance for the repair of wheels. However, most previous researches have used qualitative detection methods, and hence have been unable to achieve accurate positioning of the wheel flats. In addition, the theoretical basis for the layout scheme for wheel flat detection sensors is lacking, making it impossible to meet the needs of field applications. In this study, we simulated the spatial distribution characteristics of rail strain, under different wheel flat conditions, and based on this, a layout scheme of multisensor arrays was proposed which more effectively captured the responses of the wheel flats. A wheel flat recognition and precise positioning method based on multisensor fusion was designed. The algorithm was validated through the combination of experimental and simulation methods. The result shows that the algorithm can ideally detect and locate the wheel flats under complex conditions.

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Modern Railway Engineering

Cited by 7 publications

References 62 publications

Advanced acoustic signal analysis used for wheel-flat detection

Advanced acoustic signal analysis used for wheel-flat detection

Modern Systems of Train Traffic Interval Control on World Railways

Railway Wheel Flat Recognition and Precise Positioning Method Based on Multisensor Arrays

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