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It is shown that modern geometry cars, flaw detector cars and other track test cars provide reliable control of the technical condition of all hauls of the railroad track at “certain intervals of time”. Their number is limited and therefore “continuous monitoring” of all hauls is almost impossible. At the same time, in real life, due to the impact of various factors, such as seismic processes, certain changes take place even a day after control. The authors consider one option for continuous monitoring of the beginning of changes in the technical condition of the track using intelligent tools, which allow one, by analyzing the useful signal and the noise from the soil vibrations caused by the rolling stock, to create informative attributes for identifying the technical condition of the track. The application of traditional technologies of correlation and spectral analysis and other methods for this purpose does not allow ensuring adequacy of the control results. This paper proposes a technology for extracting and analyzing useful vibration signals, the noise of vibration signals and the relationship between them. The estimates of both correlation and spectral characteristics of the useful signal and the noise are used as the main carriers of diagnostic information. Due to the simplicity and the reliability of implementation of the proposed technical tools, they can be easily installed in one of the cars of all rolling stocks, providing control of the beginning of changes in the technical condition of the track during their movement in all hauls
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
65--73
Opis fizyczny
Bibliogr. 8 poz.
Twórcy
autor
- Institute of Control Systems of the Azerbaijan National Academy of Sciences 9 B.Vahabzade, Baku AZ1141, Azerbaijan
autor
- Institute of Control Systems of the Azerbaijan National Academy of Sciences 9 B.Vahabzade, Baku AZ1141, Azerbaijan
autor
- Institute of Control Systems of the Azerbaijan National Academy of Sciences 9 B.Vahabzade, Baku AZ1141, Azerbaijan
autor
- Institute of Control Systems of the Azerbaijan National Academy of Sciences 9 B.Vahabzade, Baku AZ1141, Azerbaijan
autor
- Azerbaijan Technical University 25 H.Cavid, Baku AZ1073, Azerbaijan
Bibliografia
- 1. Aliev, T. Noise control of the Beginning and Development Dynamics of Accidents. New York: Springer. 2019. 201 p.
- 2. Vagnoli, M. & Remenyte-Prescott, R. & Andrews, J. Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges. Structural Health Monitoring. 2018. Vol. 17(4). P. 971-1007.
- 3. Zhang, C. & Ni, Y. & Zhou, L. & Wang, C. A new railway tunnel deformation monitoring system using FBG bending gauges. In: The 2017 World Congress on Advances in Structural Engineering and Mechanics (ASEM17). Seoul, 2017. Available at: http://www.i- asem.org/publication_conf/asem17/5.SS/W5C.05.SS2321_4024F1.pdf.
- 4. Stoyanovich, G.M. & Pupatenko, V.V. & Maleev, D.Y. & Zmeev K.V. Solution of the Problem of Providing Railway Track Stability in Joint Sections Between Railroad Facilities and Subgrade. Procedia Engineering. 2017. Vol. 189. P. 587-592.
- 5. Wang, P. Design of High-Speed Railway Turnouts. 1st Edition. New York: Academic Press. 2015. 480 p.
- 6. Vinberg, E.M. & Martin, M. & Firdaus, A. & Tang, Y. & Qazizadeh, A. Railway Applications of Condition Monitoring. Stockholm: KTH Royal Institute of Technology. 2018. 47 p. Available at: http://doi.org/10.13140/RG.2.2.35912.62729.
- 7. Ngigi, R.W. & Pislaru, C. & Ball, A.D. & Gu, F.Modern techniques for condition monitoring of railway vehicle dynamics. Journal of Physics: Conference Series. 2012. Vol. 364(1). Available at: http://doi.org/10.1088/1742-6596/364/1/012016.
- 8. Kostrzewski, M. Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions. Vibroengineering PROCEDIA. 2017. Vol. 13. P. 153-158. Available at: https://doi.org/10.21595/vp.2017.18958.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e41b307f-9157-4e1a-a5e0-532e4db77f37