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The article discusses the specifics of the locomotive reliability indicators use in the Russian Railways. Examples of locomotive reliability indicators and the indicators used in the Russian Railways in the conclusion of service contracts, including under the life cycle contract are given. A method of transition from national standard to Russian Railways has been proposed. It is concluded that these procedures can be automated.

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.

The article proposes the use of Fuzzy Sets theory in decision-making support system of locomotive complex IT-control systems. For this purpose the method of translation linguistic assertions into the language of mathematical logic proposed, which will be introduced on a built-in quality in the IT-control system of monitoring of technical condition and modes of operation of locomotives service company «TMH-Service» and management company «Locomotive technologies».

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.

The article describes the types of irrational electric power losses for train traction and sets the annual planning levels of their improvement. Represented the basic methods of irrational electric power losses determination which are currently used in JSC "Russian Railways". Shown an example of the irrational losses determining algorithm in case of making up for train delay and given its description. Formulated technical results of the proposed method for determining the irrational electric power losses .

With the advent of new series of locomotives, the development of heavy freight trains, the increasing speeds of passenger trains, the introduction of innovative technical means and technologies, the degree of influence of various indicators on energy consumption is redistributed. The aim of the article is to develop a methodology for monitoring the efficiency of locomotives when changing the set of operational factors. This will make it possible to more accurately determine the estimated change in specific energy consumption, which in turn will increase the objectivity of the assessment of the causes of changes in the energy intensity of transport and will help to reduce energy losses.

The article is devoted to checking the validity of the hypothesis that the information on a user's computer system, obtained on the basis of covert monitoring of standard peripherals allow timely recognize disloyal behavior and prevent the realization of the internal threats to information security, which is important for the information systems of rail transport.

The paper discusses the use of automated electricity metering systems to control parameters of the traction power supply system in terms of speed and heavy movements. As the main control system offered an automated system for monitoring energy efficiency of transportation process. The results of testing of the system considered in the measurement example, the boundaries of the active area of railways DC Shalya - Podvoloshnaya Sverdlovsk railway.

The article discusses a problem of the efficiency of the regenerative braking’s increase on the DC railway section. For the detection of the causes of the decrease of the specific regeneration’s level on the area an algorithm is offered, which enables to determine the causes of the decrease of the specific regeneration’s level on the arbitrary monitoring’s area in view of the determination of the locomotive’s capacity for work, work parameters of the electric traction system and the executed graphic time-table. In the article the main phases of the algorithm’s work were considered by the example of the one of the railway sections.

The presence of ever-changing electrical traction load, distributed not only in time but also in space leads to the complexity of the detailed monitoring of the energy efficiency of the organization trains JSC «Russian Railways». Therefore one of the priorities of the energy strategy of JSC «Russian Railways» is the introduction of innovative technical tools and technologies. The paper discusses the main provisions and some functionality created automated information-measuring complex accounting of electric energy in the electric rolling stock. Reviewed the processing of data for evaluation of energy efficiency of trains on the basis of the developed system.

In this paper we consider an alternative method to solving problems of technical diagnostics of railway wheels, which consists in developing a system for monitoring critical states of near-surface layers of metal, which has the ability to detect incipient defects in the metal structure of the rolling surface of a wheel.

The article deals with measures to improve the energy efficiency of the transportation process. The necessity of creation of an automated system for monitoring the energy efficiency of the electric rolling stock. The algorithm, which allows to determine the reasons for non-locomotive crew specific rules of electricity on the trip. Developed form of protocols, reflecting the information on losses of electricity on the basis of a trip with the time and place of their origin.

The quality of a track circuit monitoring system is defined to the great extent by its ability to automatically analyse the acquired data, i. e. identify the state of a track circuit. Machine learning techniques can be applied to implement this functionality. Designing a machine learning algorithm requires a learning data set from the subject domain. In this article we discuss a basic principle of track circuit mathematical model design that could be used to generate such data set. We also apply this principle and a combination of some existing methods to design and demonstrate a mathematical model of the 25 Hz AC track circuit.

The method of an estimation of reliability of functioning and probability of conditional non-failure operation of a network element telecommunication in view of factor of availability is considered

We consider the ways of increasing the effectiveness of the information-measuring complex of an automated system for monitoring and metering electricity. The possibility of reducing the volume of telemetry traffic in information transmission channels and increasing the energy efficiency of information-measuring equipment is investigated.

We consider the concept and architectural aspects of the development of the corporate information sys-tem for monitoring and resources accounting. The relevance of improving automated systems is due to the intensification of the use of modern information technologies in industry. The aim of the work is to select the architecture of the distributed information system for monitoring and resources accounting (hereinafter - the system), which ensures prompt decision-making in the management of technological objects. We consider the current trends in the development of information systems and concepts that provide the requirements established for systems of this class and purpose. The system is based on previously designed prototype that has been put into operation, and differs from it in new solutions that allow to increase mobility and fault tolerance. We describe the basic implemented architectures and the system functionality.

In article the solution of a task of the organization of operational monitoring of elements of the rolling stock on the basis of the methods of statistical definition of quality which were widely used in the analysis of defects of the current production is considered. The problem is solved on the example of carrying out control and diagnostic operations by results of which realization the conclusion about technical condition of elements of the rolling stock becomes. The approach offered in article allows to consider a posteriori information and by that to optimize the volume of the carried-out works. The received results can be used at the solution of a complex of tasks of decrease in resource intensity of system of repair and the maintenance of the rolling stock.

The object of the research is the solid rocks massif containing the Kuznetsovskiy tunnel with a length of 3890 m, the greatest depth of the deposit is 355 m, which crosses the mountain pass section of Sikhote-Alin on the Komsomolsk-Sovetskaya Gavan line of the Far Eastern Railway. The aim of the studies was a detailed analysis of the engineering and geological conditions of the facility and their impact on construction and operation. These data are obtained as a result of field research, laboratory testing of physical and mechanical properties of rocks, evaluation of water flow to drainage structures and analytical calculations. The massif is composed by terrigenous rocks - a rhythmic interlayering of heterogeneous grained sandstones, siltstones, gravelites, conglomerates, that are classified as strong. Layering has a steep drop and a sublatitudinal strike, deviating from the axis of the tunnel by 20 - 60 °. The tunnel axis is crossed by a system of faults of various capacities, their total capacity is 334 m, which is 8.5% of the length of the tunnel. The fault zones are associated with increased fracturing, reduced stability, in places abundant water inflows that have peaks in the summer, the threat of landslides, intense silicification and sulfide mineralization. The obtained monitoring materials by methods of recording natural pulses of the electromagnetic field of the earth (NPEFE) (EEMEMP) and dipole electromagnetic profiling (DEMP) allowed to draw a conclusion about the real picture of the development and forecast of the rock pressure, as well as the dynamics of the groundwater entering the mine for safe construction and operation. The state of the geodynamic conditions of the mountain massif is characterized as stable. Available data can be used as a starting point for assessing and forecasting aspects of the construction and operation of the second stage of the tunnel.