employee from 01.01.2021 until now
Samara, Samara, Russian Federation
Russian Federation
Objective: experimental verification of the hypothesis that the magnitude of the signal current flowing through an insulating joint of a track circuit is an informative diagnostic indicator. The research aims to establish a quantitative relationship between the change in the insulating joint’s resistance and the current strength, which is necessary for creating a system for continuous monitoring and predicting its pre-failure condition. Methods: field measurements were conducted on a railway test site using a Track Circuit Current Indicator (ITRC-M). Polynomial approximation using the least squares method (LSM) was applied to process the experimental data and obtain an analytical relationship. The model that provided the best fit to the experimental data was a third-degree polynomial. Results: an inverse relationship was established: as the resistance of the insulating joint decreases, the magnitude of the signal current flowing through it systematically increases. A high-precision mathematical model (a third-degree polynomial) was obtained, which reliably describes the experimental data within the operating range of resistances. It is shown that the behavior of the model beyond the measurement interval (asymptotically approaching negative infinity as the current decreases) eliminates the possibility of false-positive and false-negative predictions during diagnostics, confirming its reliability. Practical significance: the research results prove the fundamental possibility of developing and implementing a Technical Diagnostic and Monitoring System for Insulating Joints (STDM-IJ). Using the proposed diagnostic indicator (the magnitude of the signal current) will enable a transition from scheduled labor-intensive inspections to a system of continuous automated monitoring. This will improve traffic safety through the early detection of pre-failure conditions of insulating joints, reduce operational costs, and enhance the reliability of railway signaling and interlocking systems.
technical diagnostics, monitoring of header devices, predictive analytics, insulating joints, rail circuits, pre-fault conditions, signal current
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