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The experience gained in the operation of high-voltage vacuum circuit breakers VBO-25-20/ 630UHL1 indicates an incorrect assessment of the mechanical resource of its individual components and elements. Despite the repeated improvement of the design of the main switch drive, applicable both as part of the new «Ermak» series locomotives starting from number 1000 series, and in earlier numbers, the dynamics of malfunctions continues to persist to the present time. One of the most important elements of the main switch is a latch designed to hold the elements of the drive mechanism in the on position, the failure of the latch entails the failure of the entire section of the locomotive. The article considers three latch upgrades previously proposed by the manufacturer, a kinematic scheme of the drive with a vacuum arc-extinguishing chamber of the switch is developed, the parameters of the preload and trip springs in the drive are calculated, the forces operating during operation are determined. On the example of the latest modernization of the latch using the finite element method in the SolidWorks Simulation software package, a strength calculation was carried out, according to the results of which the stresses arising in its design were determined. As a result of the analysis of the finite element model, the forces critical for the structure are determined, a graph of the dependence of the structural strength margin and the maximum stress in the structure on the acting forces is developed. According to the results of the study, the force at which the most favorable value of the safety factor is provided is determined, for which it is proposed to reduce the critical force by changing the parameters of the compression springs and disconnecting the drive of the arc extinguishing chamber. A loading diagram with the drawing dimensions of two modified springs has been developed.

The development of traction rolling stock is closely associated with an increase in the maximum traction force for adhesion the wheels to the rails. The negative factor in this aspect of development is slipping. The article proposes a new method of protection against slipping of wheel sets of electric locomotives 2(3)ES5K «Ermak». The method implies redistribution of tractive forces between wheel sets and minimization of sanding. The paper discusses the principle of operation of the anti-slip system and the principle circuit of the power section, and simulates some modes of wheel sets in the Multisim software package.

Annually locomotive-building plants, equipment suppliers and service companies develop organizational and technical measures aimed at improving the reliability of products. Thus, within the framework of the contract for the supply and maintenance of electric locomotives of the ERMAK series, a number of corrective measures have been implemented in more than thirty directions, many of which have achieved a positive result. However, during the long-term operation, more and more new hidden technical defects are revealed, and in rare cases, the measures taken are not enough. The manifestation of systemic inconsistencies is random in nature, thereby they negatively affect the dynamics of the average daily mileage and the linear mileage completed over the entire life cycle, causing unpredictable fluctuations, and as a result, the organization of service planning and budgeting to support the life cycle of locomotives. Therefore, there is a need to develop a model for a more accurate forecast of the average daily mileage for a long period, considering the impact of system inconsistencies and corrective measures to improve the reliability of nodes. The article uses the Pareto principle to analyze system malfunctions of locomotives manufactured by PC NEVZ LLC for the period of operation from 2018 to 2021, analyzes the dynamics of the average daily mileage of the locomotive fleet of the Far Eastern Traction Directorate with the use of a statistical and analytical method, analyzes the impact of failures on the average daily mileage using the Fourier time series forecasting method. On the example of malfunctions of power current-carrying buses of a rectifier-inverter converter and malfunctions of latches of a high-voltage vacuum circuit breaker, the influence of malfunctions of critical nodes is evaluated.

The article presents the results of the research conducted by the authors, the purpose of which was to development a model for recognizing defects in axle caps of a wheel-motor block of a locomotive in order to implement automatic advance notification of management structures about the need for maintenance or repair operations to eliminate defects at an early stage of their occurrence. The research used the following interdisciplinary and mathematical methods: computer and mathematical modeling, methods of mathematical statistics, methods of the theory of artificial intelligence and parametric reliability. As a result of the research, a mathematical formalization of the model for recognizing one of the defects in the axle caps of the wheel-motor block of the locomotive - the groove (chipping) of the babbitt layer was obtained. With the help of the obtained model, it is possible to implement automatic recognition of defects, pre-failure states not only of axle caps, but also of other units of technical systems. The developed model can be used in monitoring systems, control, diagnostics of the technical condition of the locomotive fleet, in order to reduce downtime in repairs and forced costs for scheduled operations. The proposed model solves the range of problems described in the development concept of JSCo Russian Railways associated with the implementation of the actual repair system for the current technical condition of the locomotive, as well as with the digitalization of the company's advanced areas.

In connection with the traceable global trend of increasing average speeds in railway transport, more and more often they are trying to exclude the intersection of railways and roads. However, in the Russian Federation, only 40 % of railway crossings are located near settlements or on busy roads, the construction of two-level interchanges at the remaining crossings is not economically profitable, and sometimes difficult due to climatic conditions. Therefore, a different approach is needed to prevent incidents and accidents at crossings. At the same time, the need for an individual construction of a security strategy for each object of the transport infrastructure should be taken into account. At present, in the existing information systems of the Ministry of Transport, the Ministry of Internal Affairs, as well as the owners of the railway infrastructure, a fairly large amount of statistical information has been accumulated on incidents and traffic accidents at railway crossings. But most often these data are used for certificates containing absolute values in each of the departments. At the same time, the relationships between these disparate sources of information are not comprehensively analyzed. Modern technologies for creating intelligent information systems based on existing large databases and tools such as machine learning, intelligent search, neural networks make it possible to build an expert system based on a specific set of rules that can analyze the situation at a particular crossing, assess the likelihood of emergency situations and suggest ways to prevent them. In addition, it is important to analyze not only the infrastructure, but also specific units of vehicles and the accident-free performance of the drivers driving them. This article discusses the prerequisites and technology for building a knowledge base of an intelligent system used to analyze the level of safety at railway crossings, which will allow us to combine currently information about the factors accumulated in various systems that affect traffic safety at crossings and based on the accumulation of knowledge give a forecast of the development of the situation at each specific object.

A significant share of JSCo «Russian Railways» expenses falls on the purchase of diesel fuel and electric power for train traction. In this connection, the task of ensuring rational consumption of energy resources acquires special importance. Its solution is impossible without a well-functioning system for planning and forecasting the energy efficiency of locomotives. The article proposes a method for predicting specific energy consumption (SEC) for train traction, based on determining predicted values of transportation work and fuel and energy resources consumption by extrapolating time series, which consists in spreading the trends in changes in the values established in the past to the future period. A distinctive features of the developed method is the determination of seasonality indices and consideration of the rhythm of changes in the indicators. In cases where the forecast period includes months of the first or fourth quarters, a formula is proposed for determining the forecast value of the SEC, taking into account the influence of the atmospheric air temperature. The calculations performed showed that the application of the proposed method for structural divisions with different volume and nature of transportation work and the level of the SEC ensures a sufficiently high accuracy of train traction energy cost forecasting. The method is included in the Methodology for Analysis and Prediction of Fuel and Energy Resources Consumption for Traction of Trains developed by OmGUPS and implemented in the railroad network of the Russian Federation.

The article deals with the possibility of applying diagnostic algorithms, taking into account the complexity of the examination, applied to a specific problem of searching for damage in receiver end of station's tonal track circuit. The article presents calculated conditional probabilities, diagnostic weights, particular and general diagnostic values of examinations, taking into account the time of movement and work by an electrician. Based on the calculations performed, a conditional diagnostic algorithm has been compiled, taking into account the complexity of the following for the equipment of the relay end of the tonal rail circuit. The effect of using this algorithm is shown. The results of the work given in the article can be used in the maintenance of automation systems of existing railways.

By the author it is offered complex programs of association in uniform system of all processes of life cycle of locomotives, promoting reduction of the expenses connected first of all with operation and service of locomotive park JSC RZhD. The main indicator this complex the system is the level of readiness of a technical product determined by an availability quotient. The developed methodology will allow to pass from technology of fixation of technical refusals, with the subsequent identification of their reasons and carrying out recovery work, to the technology of forecasting and the prevention of these refusals based on a constant control of technical condition of locomotives and forecasting of a stock of a resource in the Online mode.

The authors propose the methodology of transportation on railway transport forecasting based on the construction of temporal trends.

In this article, a scientific approach to optimizing the electromechanical route for servicing the centralization and blocking devices at the station is considered. For this purpose, the authors propose to use the algorithm for solving the known traveling salesman problem. This algorithm is the basis for constructing technological maps of the movement of electromechanics around the station, as a component of technological maintenance cards for automation and telemechanics devices.