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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 infrared studies of the process of heating parts collector and brush assembly dc electrical machines. Proved diagnostic parameters for assessing the technical condition of the collector-brush assembly of electric motors: the ratio of changes in the elevation of temperature in time and space.

The aim of the work, the results of which are presented in this article, is to identify effective parameter of the heating process in the collector-brush unit of DC traction motor. The article suggests a detailed equivalent thermal equation of DC traction collector-brush unit. An experiment in a laboratory according to the theory of experimental design in the central rotatable terms of the second order are held, and the analysis of the results are presented. A method for processing the results of thermographic study of the machine is described. The regression equation, reflecting the degree of influence of the mode parameters of the machine on the intensity of the heating area of traction motor collector-brush unit, is compiled. The correct use of mathematical apparatus is confirmed by quantitative calculations Student's criteria assessing the significance of the coefficients of equations and F-Fisher criterion within the 5 % significance level. The results can be used to supplement the methods of DC traction motors and collector-brush unit technical condition diagnostics.

The article presents the main requirements for the development of traction motors commutation control digital device and the results of the development and testing of this device on the test bench. Justified the expediency of application of the input highpass filter when the power of the testing traction engine from the thyristor converter. Presented the technique of processing the diagnostic signal from bipolar brushes to filter out noise of different physical nature.

The article describes themain types ofdamageinsulatorscontact network, presents statisticsfortheirfailures. Identified weaknessesin existing methodsof diagnosingsayabout the relevance ofthe problem, especially in the areasof railwaysDC. Made experimental investigationson the measurementof the electrostaticfield on theinsulator strings. Analysis of the studiesshowed that the presencein the string of faultyinsulatorsleadsto an increase inthe electrostatic fieldaround them. Proposed a technicaldevice noncontact measurementof electrostatic fieldandmethod of determining thefaultyinsulatorin the string.

In the article it is developed a model for the locomotives life cycle managing in their maintenance and repair using automated technical diagnostic systems. Based on statistical analysis of data on the operation of locomotives, the impact of the reliability of the locomotive and its maintenance and repair system on the efficiency of locomotives is theoretically justified. A method of analyzing the technical diagnostic systems effectiveness using the mathematical apparatus of information theory and of predicting the duration of maintenance and repair time with the dynamic use of accumulated statistics on the duration of previous repairs has been developed.

The article deals with the problem of diagnosing the technical condition of the collector-brush unit of DC motors. The topicality of this problem in the engines operating on the railway transport, which are in the most severe operating conditions, is particularly noted. These studies are aimed at improving the reliability of diagnosing the technical condition of the collector-brush unit through the use of a new method of diagnosing the condition of collector DC motors’ commutation. The proposed method of diagnosis is based on a new principle of processing diagnostic information about the spark pulses under the brushes. The article presents the histograms of the distribution of the pulses' intensity of different sections of the armature winding. The research conducted an experiment using a digital control device that allows to identify and digitize a useful diagnostic signal from multipolar brushes with a high sampling rate and transfer it to a computer. Analysis of the experiment’s results showed that the average value of the pulse’s area increases with increasing the spark’s intensity. Nevertheless, severe sparking at the collector leads to the law of distribution becomes double-modal, and as a result, dramatically increases the standard deviation of the values of the pulses’ areas. Described effect makes misinformation in the diagnosis procedure using the parameters of the laws of distribution of the spark’s intensity. The proposed method of diagnosis allows to eliminate this effect. The copyright for a new method of diagnosing is protected by a patent.

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 presents results ofmodeling andfull-scaletesting of the devicefor remotediagnosisinsulatorscatenaryrailway transport. The maincauses ofbreakdownof insulators. Presents statistics offailurecatenaryinsulators. The plotof the contactnetwork is presentedin the form ofthe line modelwith distributed parameters. To create a virtual model of the device and the line was selected program Multisim 12.0. Described bya block diagramof the devicefor remote monitoringcatenaryinsulators. Shows theprinciple of operationof the deviceto control thecatenaryinsulators. Present a schemeof the experimentat the siteof contact networkOSTUlandfill. Parameters are calculatedareaof contact network. Chosenform ofdiagnosingpulsesto determine thepossible location ofthe faultyinsulator.

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.