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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 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.

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.