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The design of the hydrostatic fan drive of the cooling system of diesel engines of passenger locomotives of the TEP70 all series is considered. According to the results of the analysis of malfunctions of components and parts of the cooling system of locomotives, it showed that the main reasons for the failure of the hydrostatic fan drive are: the destruction of the housing and overheating of the bearings of the hydraulic motor, oil leakage at the installation site of the rubber diaphragm and loss of rigidity of the spring of the thermostat. The reasons for which are often the temperature conditions and the life of the parts. The article discusses the issues of improving the efficiency of the hydrostatic fan drive of the cooling system of diesel locomotives. An increase in the life of the hydraulic motor can be achieved by eliminating idle from its operating time, since it is connected by a rigid coupling with the diesel shafts. Ensuring the independence of the operation of the hydraulic motor relative to the diesel engine is possible by changing the design of the hydraulic fan drive, by installing a viscous coupling for the transfer torque of the shaft only during the period of necessary useful work, when a certain oil temperature is reached. To increase the reliability of the thermostat, the possibility of installing an additional rubber diaphragm with increased tension force, for trouble-free operation of the thermostat when the pressure reaches 12 MPa and when the oil viscosity decreases, is considered. A malfunction of the thermostat often leads to the most serious consequences, up to the failure of the locomotive, where the most common cause is the loss of rigidity of the spring of the thermostat due to the jamming of the spool, which affects the redirection of the oil flow, and there is a high probability of an increase in the temperature of oil or water in the system. The considered main malfunctions of the hydraulic fan drive and ways to solve them will significantly increase the reliability of its operation and the efficiency of passenger locomotives.

The article proposes an approach to improve the efficiency of using the automatic train guidance system based on instantaneous traction calculations using the actual movement parameters according to current measurements of on-board systems of electric locomotives. A critical analysis of scientific research on the improvement of auto-guidance systems for freight mainline electric locomotives based on modern technologies and machine learning algorithms, neural networks has been carried out. As a rule, all existing approaches to determining the optimal train driving modes are based on the application of traction calculation rules with the empirical setting of movement resistances and other factors without taking into account the real influence of the external environment. The results of comparison of traction calculations in the section of the West Siberian test site according to the current rules and in the KORTES program with the actual data of the on-board measurement systems of the 2ES6 series electric locomotive are presented. Based on the data deciphered from the recorders of motion parameters of electric locomotives of the 2ES6 series, the laws of control of the excitation current at rheostatic and running positions in the traction mode are investigated. The possibility of using the measured data of the on-board systems of electric locomotives to determine the parameters of the train, including the torque of the traction motors, the traction force of the electric locomotive sections, the actual total resistance to movement, inertial properties, etc., is substantiated. The calculation of these parameters for the traction mode is performed. The concept of equivalent mass is introduced and expressions are presented for determining the parameters of a train based on the equation of motion in the form of small increments of measured and calculated data. The obtained results of determining the parameters of the train based on instantaneous traction calculations and data of current measurements of the on-board systems of electric locomotives showed statistical stability and can be used in real time for automatic train guidance systems, providing an increase in the accuracy of determining control actions, taking into account the actual influence of the external environment and increasing the efficiency of using the automatic guidance system for freight trains. locomotives in general.