INTELLIGENT SYSTEM OF NOISE CONTROLOF THE TECHNICAL CONDITION OF RAILROAD TRACKS

Autor: Telman ALIEV, Tofig BABAYEV, Tahir ALIZADA, Elnur ALIBAYLI, Heybatulla AHMEDOV
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Transport Problems, Vol 16, Iss 1, Pp 65-73 (2021)
Druh dokumentu: article
ISSN: 1896-0596
2300-861X
DOI: 10.21307/tp-2021-006
Popis: 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 monitoringofthe 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 carriersof 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.
Databáze: Directory of Open Access Journals
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