PUBLISHED PAPERS #16
| Telman ALIEV, Naila MUSAEVA. Technologies for early monitoring and warning of malfunctions in transport complex facilities |
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| Abstract. The paper considers the specifics of malfunctions of transport complex facilities, which include bus stations, railway stations, sea terminals and ports, bridges, tunnels, airports, railways and waterways, highways, various structures and devices, etc. It is shown that as a result of the breakdown of these objects the schedule of work of the transport complex is broken, the safety of freight and passenger transportation is reduced, freight and passenger turnover decreases, which ultimately leads to large material losses and damage. It is noted that damage to objects of the transport complex is accompanied by the appearance of additive noises, which are superimposed on and correlated with the useful signals coming from the corresponding sensors. Therefore, algorithms have been developed for the early monitoring of malfunctions in facilities of the transport complex as a result of calculating the relay and normalized cross-correlation functions, as well as the correlation coefficient between the useful signal and the noise of the noisy signal. At the same time, it is shown that the dynamics of damage development is reflected in the noise characteristics of noisy signals, which change in time depending on the degree of malfunction and the rate of its development. In this connection, algorithms for determining the rate of malfunction development in transport complex facilities have been developed by constructing a confidence interval for the mathematical expectation of noise. It is noted that the application of the developed algorithms and technologies allows to carry out timely current and overhaul repairs, reduces the risk of destruction of objects located in the territory of the transport complex. |
| Keywords: transport complex; transport complex facilities; noise; useful signal; noisy signal; characteristics of the relationship between the useful signal and the noise; confidence interval; malfunction; monitoring and warning system |
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| DOI: https://doi.org/10.54381/plmo2023.16 |