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Abstact. During automated rheostat tests of locomotives itʹs necessary to control a lot of parameters of the diesel generator set and support systems. Due to the features of perception of the information by human the control is brought to the observation of a small number of parameters. Implementation in practice of rheostat tests of automated systems of inspection and testing allowed to expand the amount of received information. In this article is offered using automated control systems of diesel-generator sets parameters during rheostat tests which allow to accumulate and analyze test date using developed protocols forms and pivot tables with parameters in entire range of loads, also it helps to determine the quantitative index of a technical condition of diesel-generator set.

On the basis of experimental data thereis a mathematical model in thisarticle. Its made from the registration options in acfual operation mode of the locomotive. This mathematical model describes the technical condition of the locomotive and evaluates the parameters and characteristics. Considerable attention is paid to complex state operation of the facility. In dealing with the mathhematical model it’s defined the main locomotive operation indicator.

The article discusses the approach to generalized evaluation of technical condition of the diesel locomotive power plant functional subsystems based on the reduction of private parameters extracted by results of the analysis graph model to one-dimensional time function with use of mathematical expression of a nonlinear medium. Results of generalized evaluation of technical condition of the power plant fuel system are presents.

To improve the reliability of the detection of a technical condition of the mechanical components of rail rolling stock and calculate the critical values of the parameters put forward the hypothesis of the homogeneity of groups of similar nodes mechanical electron-tropoezda. As part of an experiment to verify this hypothesis, carried out the collection of information about the values of vibration parameters of electric components in the movement; the technique and the statistical analysis of the measured vibration parameters for the same type of bonds-fishing.

The article discusses the approach to evaluation of technical condition of the diesel locomotive power plant fuel system as a part of an integrated microprocessor control systems. Presents an approach of generalized evaluation of technical condition of the power plant fuel system. By results of the analysis of a fuel system graph model set of control parameters is selected, the algorithm allowing to establish the reasons of controlled parameters output of admissible limits is developed.

System of preventive maintenance and maintenance of the operable condition of the traction rolling stock. The subject of a global study of failures of traction motors in the event of a breakdown on the territory of the service locomotive depot «Dalnevostochnoye» and «Primorskoye» for 2019. The purpose of the study is to determine the possible norms of overhaul runs for the considered node in order to achieve the optimal number of locomotive calls for unscheduled repairs. In the work, the correct law of distribution of traction motor (TED) failures, the determination of the Sturgess, Pearson coefficients and other methods of mathematical statistics and the theory of justification of systems. The article defines an element that limits the norms of overhaul runs of traction motors; the theoretical distribution of traction motor failures due to a decrease in the insulation resistance of its windings has been obtained. As part of the study, the optimization of the norms of overhaul runs was carried out according to the conditions for conducting maintenance regarding the traction motor. As a result of the analysis of the causes of failures, it was found that more cases of placing locomotives for unscheduled repairs occur in the first mileage interval of locomotives due to poor quality diagnostics at TR-1 upon measuring the resistance of the insulation windings. Most of the failures occurring in the first period of operation are not associated with a change in the reliability of the considered node. When considering two normal peaks of failures, falling on the operating time intervals 14-21 and 28-35, the necessity of optimizing the norms of overhaul runs is determined. When considering two normal peaks of failures, falling on the operating time intervals 14-21 and 28-35, the necessity of optimizing the norms of overhaul runs is determined. The practical significance of the study lies in the possibility of using the option of optimizing the norms of overhaul runs to adjust the norms of maintenance and repair periods within specific depots.

The article discusses the approach to operational evaluation of technical condition of the diesel locomotive power plant functional subsystems as a part of an integrated microprocessor control systems. Presents an approach to operational evaluation of technical condition of a fuel system. By results of the analysis of a fuel system graph model set of control parameters is selected, the algorithm allowing to establish the reasons of controlled parameters output of admissible limits is developed.

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 goal of the research is to development of a synchronous-replicated model for the assessment of the technical state of a locomotive as a technical system to reduce the occurrence of failures during operation, and as a result, reduce downtime in repairs. When performing the research, the following interdisciplinary and mathematical methods were used: system analysis, computer and mathematical modeling, methods of the theory of artificial neural networks, mathematical analysis. As a result of the research, a mathematical synchronously replicated model for assessing the technical condition of a locomotive based on an artificial multilayer forecasting neural network was obtained. The developed model can be used in monitoring systems, control, diagnosing the technical condition of the locomotive fleet. The original features of the developed model are a low sampling period between polling monitoring tools, versatility, adaptability, efficiency. Based on the developed model, a generalized algorithm for managing the technical condition of the locomotive fleet is built. The proposed model and algorithm solves the ranges of tasks described in the development concept of Russian Railways OJSC related to the implementation of the actual repair system according to the current technical condition of the locomotive, as well as the digitalization of the company’s advanced areas.

Now there is no efficient decision to estimate a corrosion condition of an underground part of reinforced concrete support of contact network which is not demanding digging of a support. This problem makes actual a task of development of a hardware and software system of definition of a corrosion condition of an underground part of reinforced concrete support of contact network. As a result of work the software module allowing to realize panoramic shooting of an internal surface of an underground part of a support, to increase quality of the received images, to carry out searching of inhomogeneities and to determine their geometrical parameters, and also to make the analysis of the found inhomogeneities. Implementation of results of work will allow to reduce time and labor costs, and also to increase efficiency of diagnostic works on support of contact network.

This paper presents an algorithm of computational experiments by definition shear load and tension mounts in the elements, which increases the safety of the operation of the railway transport system.