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In article are considered standard technologies of ultrasonic inspection of under-hub parts of press-fitted wheelset axles accordingly to existing regulations: GD (Guidance Document) 07.09-97 and STO (Standard of the Organization) Russian Railways 1.11.002-2008, and proposed improve-ment measures of nondestructive inspection that are confirmed by calculation and experimentally

The article assesses the influencing factors for electric power consumption for the needs of the electric locomotives of the 2ES6 series, statistical models for normalizing the electric power consumption for own power have been generated, and their quality has been assessed.

Rational way to improve the operational efficiency of the locomotive is adjustable power.The implementation of this method possible with the use of automatic power regulation implementing the optimal load,the operation mode of the traction and energy unit (TEU) of the locomotive. The aim of this work is to obtain mathematical relationships,establishing the optimal ratio between the number of employees of TD given thrust and speed. Determination of the optimal ratio being in the traction motors is based on finding the minimum power losses at the nodes of the TEU. Search the minimum of complex functions is an optimization problem,which from a mathematical point of view is to determine the minimum of function of several variables with a number of constraints,and relationships. To solve the problem of finding the minimum of a complex function,we used the method of indeterminate Lagrange multipliers. The optimization process is considered at a constant value of the voltage supplied to the TD and sold power.Variables - the force of traction,speed of movement,the ratio of incremental losses,the resistance of the circuit of the armature of TD was assumed constant,which allowed to simplify the solution of the problem,reducing it to find three unknown quantities - current,the number of TD and magnetic flux. The solution to this system of equations for the number TD,participating in the work were obtained analytical dependences the optimum values of the TD depending on the speed,the thrust force on the rim of the driving wheels of the locomotive and tension. Analytical expressions for determining optimal parameters of power regulation of electric DC,allow to obtain the optimal values of the number of workers so and the load depending on the given values of thrust and speed in the entire range of load modes of EPS. The analytical expressions can be used when drawing up regime maps and energy performance certificates EPS,and also in the most important automatic devices of power control of the rolling stock to set the optimal ratio of number of employees and so on.

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 clause the organization and perfection of process of repair axle box units of a rolling stock by results of diagnostics is considered. The diagnostic model of object, and also a technique of perfection of repair on an actual condition with application of technical diagnostics and the analytical means, based on concept ТРМ is resulted.

The article proposes methodology for assessing the power loss in motor thrust bearings, the nodes of box, traction gear transmission. Revealed dependence between the power losses, the diameter of the tire wheel pair and the speed characteristic of the wheel-motor block. The results can be used to assess the technical condition and energy efficiency of traction rolling stock of Railways.

The article deals with the modeling of the electric rolling stock and traction power supply system with the aim of solving the problem of reducing the electric power consumption for the traction of trains in the conditions of changing the schedule of freight trains. Simulation modeling is performed for the conditions of changing the mass of the train and the load on the axis. The description of the results obtained is based on regression models, the order of application of models in practice is given.

The article deals with the issue of the interaction of the track and rolling stock and the relationship of factors affecting the comfort of passengers. Examples of passenger comfort indicators are given and possible causes of deviations in the track geometry are considered. The results of experimental trips are analyzed and the data obtained by standard diagnostic tools are presented. Natural irregularities in the plan and profile were constructed in the analyzed areas where comfort indicators were exceeded. The data presented demonstrate the use of an additional indicator of the interaction of the track and rolling stock, which is advisable to take into account to identify deviations in the geometry of the track gauge when carrying out work on the current maintenance of the track, since there are irregularities or combinations of irregularities in the track that have an increased dynamic impact. It is worth noting that currently not all irregularities are registered, and accordingly such irregularities are not eliminated. Using the «passenger comfort» indicator calculated from the accelerations occurring in the elements of the rolling stock, it is possible to determine the places and deviations of the geometry of the track gauge that affect the dynamic characteristics of the rolling stock, causing increased comfort indicators.

The article presents the results of research of a point magneto-induction sensor based on a mathematical model, which allows you to increase the reliability of automated systems for diagnosing technical condition rolling stock in the course of train movement by improvement the accuracy of the initial information, that is, the moments of fixation passing of wheelset axles over magneto-induction sensors. At the first stage of developing a stigmatic mathematical model the analytical dependence of the value of the magnetic flux in the magnetic core and the output EMF value on resistance of the air gap between the sensor and the wheel crest. At the second stage of development of the mathematical model found time dependence of the magnetic resistance of the air gap between the core of the magneto-induction sensor and the comb wheels of a railway car moving along a straight track at a constant speed. On the basis of application the developed stigmatic model allows evaluating the energy parameters of magneto-induction sensors depending on the properties of modern magnetic materials. The simulation results showed that the MMF value is constant the magnet determines the main parameters of magneto-induction sensors, so the use of modern magnets based on rare earth they allow to eliminate the traditional disadvantage of outdated types of magneto-induction sensors, that is, to reduce their size and weight. The application of the proposed stigmatic model expands the scope of possible solutions to extreme problems for selection and justification parameters of magneto-induction sensors, helps to improve the accuracy of systems for diagnosing the technical condition of the car fleet and traffic safety on railway transport.