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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 way of diagnosing allowing without removal and dismantling of a nozzle on the working engine to define the chart of movement of a needle of a spray by means of the sensor of pressure, established in a cavity over a nozzle needle is offered, to estimate the valid corner of an advancing of injection of fuel and a technical condition of a nozzle of the diesel.

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 deals with the possibility of applying diagnostic algorithms, taking into account the complexity of the examination, applied to a specific problem of searching for damage in receiver end of station's tonal track circuit. The article presents calculated conditional probabilities, diagnostic weights, particular and general diagnostic values of examinations, taking into account the time of movement and work by an electrician. Based on the calculations performed, a conditional diagnostic algorithm has been compiled, taking into account the complexity of the following for the equipment of the relay end of the tonal rail circuit. The effect of using this algorithm is shown. The results of the work given in the article can be used in the maintenance of automation systems of existing railways.

The article describes the possibility of applying diagnostic algorithms, taking into account the complexity of the examination, applied to a specific problem of searching for damage in receiver of station's tonal track circuit. The aim of the work is to justify the need to take into account the complexity of the survey when compiling these algorithms. The order of compiling the diagnostic algorithm is shown, conditional probabilities, diagnostic weights, private and general diagnostic values are calculated. On the basis of the calculations performed, algorithms for diagnosing taking into account the complexity of the examination in receiver of the tonal track circuit was compiled. The work results presented in the article can be used for technical maintenance of automation systems of operating railways.

The article deals with the possibility of applying an unconditional diagnostic algorithm, applied to a specific problem of searching for damage in a station's tonal track circuit. The aim of the work is to substantiate the possibility of applying diagnostic algorithms, in order to reduce the time of search and repair of damages. The order of compiling the diagnostic algorithm is shown, conditional probabilities, diagnostic weights, private and general diagnostic values are calculated. On the basis of the calculations performed, an unconditional algorithm for diagnosing the tonal track circuit was compiled. The results obtained in the article can be used for technical maintenance of automation systems of operating railways.

The article deals with the possibility of applying a conditional diagnostic algorithm, applied to a specific problem of searching for damage in a station's tonal track circuit. The aim of the work is to substantiate the possibility of applying diagnostic algorithms, in order to reduce the time of search and repair of damages. The order of compiling the diagnostic algorithm is shown, conditional probabilities, diagnostic weights, private and general diagnostic values are calculated. On the basis of the calculations performed, a conditional algorithm for diagnosing the tonal track circuit was compiled. The advantages of the conditional diagnostic algorithm in relation to the unconditional algorithm are demonstrated. The results obtained in the article can be used for technical maintenance of automation systems of operating railways.