Wheel-flat detection on trams using envelope analysis with Hilbert transform

Nowakowski, Tomasz; Komorski, Paweł; Szymański, Grzegorz M.; Tomaszewski, Franciszek

doi:10.1590/1679-78255010

Cited by 17 publications

(17 citation statements)

References 19 publications

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“…Our future plans include the detection of flat wheels because this is the current and discussed topic. Flat wheels can cause travellers' discomfort and damages to tram axles [28][29].…”

Section: Discussionmentioning

confidence: 99%

Fiber Optic Phase-Based Sensor for Detection of Axles and Wheels of Tram Vehicles

Nedoma¹,

Kostelanský²,

Fridrich³

et al. 2020

Komunikácie

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This paper presents a novelty approach to usage of the fiber-optic phase-based sensor in railway transportation. We designed and tested the real deployment of this sensor working on the principle of light interferences within optical fibers. The proposed construction of the sensor allowed to increase the sensitivity and thanks to this can be detected and calculated individual axles and wheels of tram vehicles. We performed long-time period measurements (April to September 2019) in diverse climatic conditions, including measurements of 642 tram passages (several different construction types) in real urban traffic. The detection accuracy level was slightly above 99.4 %.

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“…Our future plans include the detection of flat wheels because this is the current and discussed topic. Flat wheels can cause travellers' discomfort and damages to tram axles [28][29].…”

Section: Discussionmentioning

confidence: 99%

Fiber Optic Phase-Based Sensor for Detection of Axles and Wheels of Tram Vehicles

Nedoma¹,

Kostelanský²,

Fridrich³

et al. 2020

Komunikácie

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“…In (Nowakowski et al, 2019) the wheel-flat detection algorithm is presented. The vibration signal and the Hilbert transform method were used for processing.…”

Section: Wheel-flat Detection Methods Algorithms and Systemsmentioning

confidence: 99%

“…The wear of the rolling stock and infrastructure is another negative effect which is translated into increasing operational costs of servicing and using rail and tram network. A detailed description of the running surface wear curve (both wheel and rail) as an operating time function is provided in (Nowakowski et al, 2019). What is more important, this kind of defect increases the risk of rail vehicle derailment.…”

Section: V≤160 160mentioning

confidence: 99%

“…The schematic of rolling surface damage is presented in Figure 2. Furthermore, the authors described the mathematical model of the flat wheel during rotation where the most important equation is as follows (Nowakowski et al, 2019):…”

Section: Introduction and Main Theoretical Aspectsmentioning

confidence: 99%

“…It is therefore reasonable to observe the vibrations as close as possible to the wheel-rail contact. The work (Nowakowski et al, 2019) also presents the impact of wheel-flat on the generated rail vibrations. The results of cross-correlation of vibration signals from the rail indicate the validity of the location of the measurement points near the wheel-rail contact.…”

Section: Introduction and Main Theoretical Aspectsmentioning

confidence: 99%

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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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