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A modern solution to the problem of improving the efficiency of the traction rolling stock maintenance and repair processes based on the use of new information technologies is the transition to a locomotives predictive repair promising system. The key element of the predictive repair system in the issue of operational assessment and management of the locomotives technical condition are onboard microprocessor control systems with built-in diagnostic, monitoring and monitoring subsystems. The onboard microprocessor control systems have the ability to carry out continuous or discrete measurement, registration, transmission and accumulation the values of large package analog and discrete locomotive equipment parameters. The functionality of the onboard microprocessor control systems based on information technologies makes them an exceptionally effective means of efficiently organizing maintenance and repair impacts on the locomotive park in order to ensure specified operational reliability and performance indicators.

Modern locomotive on board microprocessor-based control systems (MSU) can be used for not only controlling locomotive equipment, but for analyzing the process of their functioning too by means of mathematical statistics. It is confirmed by authors of this article. Through the article is offered method of nearby-failure condition diagnostic by the means of MSU data correlation analysis.

This paper investigates the issue of voltage distortion in the 0.4 kV power supply at electric centralization (EC) posts. Significant voltage distortion may trigger an emergency switch to the backup feeder, potentially leading to failures in railway automation and telemechanic systems. To analyze this problem, a series of field measurements were conducted to assess the quality and harmonic composition of the supply voltage at an EC post. The experimental results revealed a direct correlation between the degree of voltage distortion and the load current on the adjacent traction substation. Using computer simulation tools, a detailed model of the traction substation, including the power supply lines to the EC post, was developed. Based on this model, optimal parameters for a passive LC filter tuned to suppress the 11th and 13th harmonic components - dominant under the 12-pulse rectification scheme - were calculated. A prototype harmonic filter was then constructed and integrated into the power supply line of the EC post. Post-installation field measurements were carried out to evaluate the voltage quality improvement. The results confirm the effectiveness of the selected filter in reducing both the total harmonic distortion (THD) of the voltage and the individual harmonic components of the 11th and 13th orders. During the entire four-month trial operation period, no emergency power transfers were recorded at the EC posts. The findings of this study can be applied to similar systems within DC-electrified railway networks, taking into account variations in rectification schemes and non-traction load power supply configurations.

Subject of research. The study focuses on the industrial transport system of a metallurgical enterprise, specifically on railway traffic management processes and the prospects for implementing microprocessor-based centralization (MPC) as a key element in modernizing railway automation and remote control systems. Objective. To assess the feasibility of deploying MPC at industrial stations of a metallurgical plant. Evaluate the need to replace the existing block route-relay centralization system for train traffic control. Explore modern control systems for railway automation and telemechanics. Identify non-transport benefits of such modernization measures. Methods. Field observations and inspections of the current state of railway automation and telemechanics systems across 19 railway stations of the plant, statistical and objective observations, analytical and deductive methods, comparative analysis of statistical data (traffic volumes, shunting operation intensity, number of failures), technical specifications comparison. Results. The study delivered: identification of ancillary positive effects in industrial transport operations management. Key findings include: a significant reduction in operational costs; confirmed decrease in failure rates at stations equipped with MPC; enhanced reliability due to built-in diagnostic capabilities. Area of application. The results are applicable for: planning modernization of railway automation at industrial railway stations; optimizing operational costs and improving transportation safety; developing methodologies to evaluate the economic efficiency of MPC implementation at enterprises with intensive railway traffic. Conclusions. The research demonstrates that MPC deployment enhances the reliability and resilience of industrial transport systems. This is particularly critical in conditions of increasing turbulence in transport flows and economic relations within the «production-transport-consumption» system.

In microprocessor automatic block signalling (ABS) systems all the basic functionality is implemented in software. Current technique used by Russian educational organisations for training of engineering staff is solely based on functionality exploration of the microprocessor ABS equipment. We suggest that this approach is not sufficiently effective and could be improved. In our view, the improvement could be achieved by addition of extensive ABS algorithm development practice to the Railway Signalling Engineering curriculum. In this article, we present a prototype of a special microprocessor learning board, which supports development and debugging of various ABS algorithms. Along with the functional diagram, we give some technical details and present preliminary results of implementing and using this prototype.