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Wearing parts of the cylinder-piston group and crank mechanism is one of the main reasons for putting a diesel engine into repair. Timely detection of the occurrence of intense wear allows you to prevent negative consequences, make timely repairs, eliminate the likelihood of unplanned exit of the locomotive from service. As a result of the study of the intensity of accumulation of wear products in engine oil, a mathematical model has been developed, which is implemented with the use of an artificial neural network apparatus. Its use allows to carry out an operational assessment of the technical condition of diesel engine parts in an in dividing way and to improve the technological process of repairing diesel engines of the D49 type

In article examines the indicator of the energy efficiency of the locomotive as an indicator of the quality repair and use the power (energy efficiency) of the locomotive. This indicator is calculated for electric locomotives that have undergone current repair of MW-3 or repair of a similar volume, based on the predicted additional power losses in the limiting units and units of the locomotive, determined taking into account their technical parameters and characteristics obtained as a result of the repair. The application of the proposed indicator as an indicator the efficiency the use of electric locomotives will allow to influence the improvement of their technical condition through the management the quality of repairs and the use of power.