Experimental study of the method and device for wheel-sets acoustic monitoring of railway cars in motion

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Authors:

V.V.Bondarenko, Cand. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0003-4019-4017, Ukrainian State University of Railway Transport, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

D.I.Skurikhin, Cand. Sc. (Tech.), orcid.org/0000-0002-3746-5157, Ukrainian State University of Railway Transport, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

R.I.Vizniak, Cand. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0001-6179-4981, Ukrainian State University of Railway Transport, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.H.Ravlyuk, Cand. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0003-4818-9482, Ukrainian State University of Railway Transport, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.I.Skurikhin, Cand. Sc. (Tech.), orcid.org/0000-0001-7415-7105, National University of Urban Economy in Kharkiv, Kharkiv, Ukraine

Abstract:

Purpose. Improving the technology of maintenance of wheel-sets of passenger cars using the on-board monitoring system and the acoustic monitoring method.

Methodology. Field studies of the acoustic monitoring method were conducted in accordance with the requirements of the current standards using a professional sound recorder. The initial data were analyzed using the licensed software, acoustic signal envelopes were computed using the Hilbert transform, and the values of the peak factor of the acoustic signal from the interaction of the wheel and the rail in the frequency bands were calculated.

Findings. The methods for detection of damages of wheel-sets in the railways of different countries were analyzed and an alternative approach to monitoring the technical condition of wheel-sets in motion of cars was proposed. Field investigations of the acoustic monitoring method were conducted, the obtained data were processed and analyzed, informative diagnostic signs were defined. The results of the study were used for programming and configuring the acoustic monitoring device for wheel-sets.

Originality. For the first time, the noise emission sources of cars were investigated experimentally during operational movement, the noise sources of the rolling stock were classified, and informative diagnostic signs of a signal for the detection of wheel damage were discovered and calculated using the acoustic monitoring method.

Practical value. A model of the acoustic monitoring device was developed and configured based on experimental studies and subsequent calculations, which allowed reducing the number of sensors per car and improving their operational conditions. Laboratory tests of the developed device were conducted.

References.

1. Alemi Alireza, Francesco Corman, & Gabriel Lodewijks (2017). Condition monitoring approaches for the detection of railway wheel defects. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 231(8), 961-981.

2. Łukasik, Z., Nowakowski, W., & Wojciechowski, J. (2014). Wyposażenie laboratorium systemów sterowania i diagnostyki pojazdów szynowych w symulator pulpitu maszynisty. Czasopismo: Logistyka (journal ISSN: 1231-5478), Zeszyt, 6, 6917-6921.

3. Maj, M., Perzyński, T., & Pietruszczak, D. (2018). Monitoring obiektów przemysłowych na przykładzie systemu kontroli dostępu bibinet. Autobusy: technika, eksploatacja, systemy transportowe. 19(6), 581-585.

4. Amini Arash, Mani Entezami, & Mayorkinos Papaelias (2016). Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals. Case Studies in Nondestructive Testing and Evaluation, 6, 8-16.

5. Li Yifan, Jianxin Liu, & Yan Wang (2016). Railway wheel flat detection based on improved empirical mode decomposition. Shock and Vibration, 2016, 1-14.

6. Kaewunruen Sakdirat (2014). Monitoring structural deterioration of railway turnout systems via dynamic wheel/rail interaction. Case Studies in Nondestructive Testing and Evaluation, 1, 19-24.

7. Luft, M., Cioć, R., & Pietruszczak, D. (2014). Analysis of selected dynamic properties of quasi-fractional-order measuring transducer used in transportation facilities. Archives of Transport System Telematics, 7(3), 17-21.

8. Pietruszczak, D., Luft, M., & Lesiak, P. (2015). Some applications of fractional calculus in modelling of accelerometer and pressure transducer. Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej, 47, 147-150.

9. ISO 3095:2005. Railway application-acoustics-measurement of noise emitted by railbound vehicles.

10. Martynov, I.E., Bondarenko, V.V., & Skurikhin, D.I. (2014). Mathematical simulation of oscillation of a wheel pair as the basis of the acoustic monitoring method. East-European Journal of Advanced Technologies, 1(7), 22-28.

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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