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On the railroads in seismically active regions, the impact of frequent weak earthquakes accelerates the initiation of defects such as wear and tear, cracks and deformation due to fatigue. An analysis of the types and stages of initiation and development of defects preceding accidents at technical facilities has shown that the registration of the beginning of the latent period of transition of objects to an emergency state based on the results of traditional technologies of analysis of measurement information in the applied control systems in the field of railway transport is delayed owing to the difficulties of noise analysis. The proposed algorithms and noise analysis technologies allow forming corresponding sets of informative attributes to control the beginning of the latent period of accidents. Their use in intelligent noise control systems will improve the safety of this mode of transportation. To this end, it is expedient to create a subsystem for noise seismic hazard warning, i.e., a subsystem for noise control of the onset of the initiation and dynamics of development of changes in the technical condition of the rolling stock, railroad tracks, bridges, tunnels, and other railroad infrastructure facilities.

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.

In contrast to traditional systems for monitoring fault of the running gear of the rolling stock, this paper proposes a technology of noise control at the onset of defects. The authors consider the possibility of creating an intelligent system that can perform noise diagnostics with the indication of the beginning of the latent period of the initiation of typical defects preceding faults. To this end, using the noise technology, sets of reference informative attributes are created in the training process. The reference sets, in turn, are used to determine the condition of the object at the beginning of the development of defects by comparing them with current noise estimates. It also allows controlling the dynamics of the development of defects.