Determination of rail vehicle speed with acoustic signal processed using continuous wavelet transform

• Autorzy: Mokrzan Daniel , Nowakowski Tomasz , Szymański Grzegorz M.

Identyfikatory

DOI

10.21008/j.0860-6897.2023.2.23

• Języki publikacji: EN

Abstrakty

EN

The paper presents the course of research and analysis on the possibility of using time-frequency methods of acoustic signal processing to determine the speed of moving rail vehicles. An experiment was conducted in the form of a trackside pass-by test of the acoustic pressure emitted by passing trams representing the rolling stock of the Municipal Transport Company in Poznan. The recorded signal was then processed using the Continuous Wavelet Transform (CWT), resulting in a scalogram that is a variation of the time-frequency characteristics. This made it possible to identify in the signal the travel time of individual bogies and their wheelsets, as well as the most sensitive value of the scale parameter. The waveform of the scalogram fragment for the selected value of the scale parameter was processed using the RMS envelope, and then the peak values were identified. Juxtaposing the obtained results with the knowledge of the structural dimensions of the tested vehicle, it was possible to determine its moving speed. To validate the results of the experiment, photocells located on both sides of the measurement track were used, which generated voltage when the test vehicle passed between them, allowing the determination of its average moving speed. The result of the study was the formulation of a method that can be used to determine the speed of a vehicle based on the time elapsed between the identification in the signal of the components corresponding to the passage of successive sets of wheels.

Słowa kluczowe

EN

continuous wavelet transform; acoustics; rail vehicle; speed detection

PL

ciągła transformata falkowa; akustyka; pojazd szynowy; wykrywanie prędkości

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2023
• Tom: Vol. 34, nr 2
• Strony: art. no. 2023223
• Opis fizyczny: Bibliogr. 20 poz., 1 fot. kolor., rys., wykr.

Twórcy

autor

Mokrzan Daniel

• Poznan University of Technology, Institute of Transport, Piotrowo 3, 61-138 Poznań

• https://orcid.org/0000-0001-8274-7009

autor

Nowakowski Tomasz

• Poznan University of Technology, Institute of Transport, Piotrowo 3, 61-138 Poznań

• https://orcid.org/0000-0001-5415-7052

autor

Szymański Grzegorz M.

• Poznan University of Technology, Institute of Transport, Piotrowo 3, 61-138 Poznań

• https://orcid.org/0000-0002-2784-9149

Bibliografia

• 1. N. Bin; Analysis of train braking accuracy and safe protection distance in automatic train protection (ATP) systems; Computers in Railways, 1996, 1, 20; DOI: 10.2495/CR960121
• 2. J. Łukasik; Relation between pre-warning time and actual train velocity in automatic level crossing signalling systems at level crossings; Diagnostyka, 2021, 22, 39-46; DOI: 10.29354/diag/133700
• 3. H. Nakamura; How to Deal with Revolutions in Train Control Systems; Engineering, 2016, 2(3), 380-386; DOI: 10.1016/J.ENG.2016.03.015
• 4. M. Orczyk, F. Tomaszewski; Studies and assessment of transport noise in Poznan; Archives of Transport, 2016, 37, 43-54; DOI: 10.5604/08669546.1203202
• 5. Y. Sato, T. Takashige, I. Watanabe; Advanced automatic train protection system; Computers in Railways, 1996, 2, 21; DOI: 10.2495/CR960121
• 6. D. Mokrzan, G. Szymański; Time-frequency methods of non-stationary vibroacoustic diagnostic signals processing; Rail Vehicles, 2021, 44-57; DOI: 10.53502/RAIL-143047
• 7. M. Orczyk, F. Tomaszewski; Studies and assessment of transport noise in Poznan; Archives of Transport, 2016, 37, 43-54; DOI: 10.5604/08669546.1203202
• 8. T. Wszołek, J. Majchrowicz; Analysis of the usefulness of distinctive noise features from rail and wheel in assessing their impact on the overall railway noise level; Diagnostyka, 2019, 20, 103-109; DOI: 10.29354/diag/114807
• 9. B. Allotta, V. Colla, M. Malvezzi; Train position and speed estimation using wheel velocity measurements; Proc Inst Mech Eng F J Rail Rapid Transit., 2002, 216, 207-225; DOI: 10.1243/095440902760213639
• 10. M. Malvezzi, B. Allotta, M. Rinchi; Odometric estimation for automatic train protection and control systems; Vehicle System Dynamics, 2011, 49, 723-739; DOI: 10.1080/00423111003721291
• 11. X. Wang, X. Shi, J. Wang, X. Yu, B. Han; Train Speed Estimation from Track Structure Vibration Measurements; Applied Sciences, 2020, 10, 4742; DOI: 10.2495/CR960332
• 12. R. Aliev; Analysis of the track sections control system a rolling stock axle counting sensor; Proceedings of Transport, Ecology - sustainable development, Eco Varna 2021, Varna, Bulgaria, 13-15 May 2021
• 13. L. Chia, B. Bhardwaj, R. Bridgelall, P. Lu, D.D. Tolliver; Train speed estimation using low-cost GPS receivers; Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring 2019
• 14. E. Pencheva, V. Trifonov, I. Atanasov; Towards Intelligent Train Control Systems; 31st Conference of Open Innovations Association (FRUCT), Helsinki, Finland, 2022, 229-236; DOI: 10.23919/FRUCT54823.2022.9770906
• 15. B. Boashash; Time-Frequency Signal Analysis and Processing: A Comprehensive Reference, 2nd ed.; Academic Press, 2016
• 16. D. Mokrzan, G. Szymański; Time-frequency methods of non-stationary vibroacoustic diagnostic signals processing; Rail Vehicles, 2021, 44-57; DOI: 10.53502/RAIL-143047
• 17. Solaris Bus & Coach Sp. z. o. o.; Tramino’s product catalogue
• 18. K. Brzeziński; Active - Passive: On Preconceptions of Testing; Journal of Telecommunications and Information Technology, 2011(3), 63-73
• 19. PN-K-92008:1998; Public transport. Kinematic gauge of tram cars (in Polish), 1998
• 20. D.E. Newland; Practical Signal Analysis: Do Wavelets Make Any Difference?; Proceedings of ASME 1997 Design Engineering Technical Conferences. Volume 1A: 16th Biennial Conference on Mechanical Vibration and Noise, Sacramento, California, USA, September 14-17, 1997

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).