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Process operating diesel locomotive associated with the gradual deterioration of parts of the cylinder-piston and crank mechanism. Periodic assessment without taking for the pieces of these groups is possible when using a method based on an analysis of the current values of the control concentration of wear. One of the main problems in the implementation of this method is the problem of estimating the amount of metal worn with controlled parts on the analysis of the current values of the concentration of wear. The article describes the method of calculation and simulation results of the system clean engine oil diesel D49.

The aim of the work, the results of which are presented in this article, is to a study of the impact of physical and mechanical properties of rail steel on the parameters of the spectrum emission. The experimental results were obtained by method of atomic emission spectroscopy (AES) in argon. Performed quantitative analysis material of the rail steel and built a multi-dimensional graduations of the description of the spectral lines correlate with changes in the hardness of steel. The results can be used to extend the capabilities of devices atomic-emission spectral analysis

The results of the study the possibility of using artificial neural networks in identification problems failure status diesel D49, the results of spectral analysis of the crankcase oil. The obtained results are needed to develop software for evaluation of the degree of wear and tear as a result of the diesel locomotive spectral analysis of engine oil.

The article is devoted to improving the methodology for diagnosing the technical condition of an asynchronous traction electric motor of type 1TV2822, a cargo mainline electric locomotive of the 2ES10 "Granit" series. To diagnose the inter-turn isolation of the stator windings, a structural model of a closed asynchronous traction motor system of type 1TV2822 is proposed. The results of modeling the operational mode and emergency mode of operation of a traction electric motor are presented, using digital processing of current waveforms in the stator winding, logarithmic spectrograms of the stator current are obtained, graphs of the pseudo spectrum of the power of the logarithmic spectral component of the stator current as operable, and an emergency traction asynchronous electric motor of type 1TV2822 with an inter-turn circuit in the stator winding.Based on the analysis of the power pseudo spectrum graph performed using digital processing of the current curve waveform in the MATLAB program package, the logarithmic powers of the current spectrum in the stator winding are presented, which serve to build an on-board adaptive system for diagnostics of asynchronous traction electric motors of the type 1TV2822 of the electric locomotive 2ES10 «Granite».

There are results of researching regularities of chafing cylinder-piston group and crank rod mechanism in the diesel engine D49. The results are necessary for creation method of diagnosing locomotive diesel without taking for the pieces but just with the results of spectral analysis of engine oil.

In the article the peculiarities and the advantages of using dynamic modes for diagnosing units of rolling stock. Specific examples of the diagnostics of separate units of the locomotive vibration, temperature, electrical parameters, frequency of rotation. The urgency of the task of developing diagnostic systems using the reference models.