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In the article there is the increase of rail circuits work stability in conditions of heavyweight traffic for AC traction sections. There is a coordinate plane graph of backward traction circuit base diagnostic states in the paper. We analyzed the results gained in the researching and suggested the way to coordinate rail shunt location and to evaluate the insulation resistance in backward traction circuit.

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.

In microprocessor automatic block signalling (ABS) systems all the basic functionality is implemented in software. Current technique used by Russian educational organisations for training of engineering staff is solely based on functionality exploration of the microprocessor ABS equipment. We suggest that this approach is not sufficiently effective and could be improved. In our view, the improvement could be achieved by addition of extensive ABS algorithm development practice to the Railway Signalling Engineering curriculum. In this article, we present a prototype of a special microprocessor learning board, which supports development and debugging of various ABS algorithms. Along with the functional diagram, we give some technical details and present preliminary results of implementing and using this prototype.

The quality of a track circuit monitoring system is defined to the great extent by its ability to automatically analyse the acquired data, i. e. identify the state of a track circuit. Machine learning techniques can be applied to implement this functionality. Designing a machine learning algorithm requires a learning data set from the subject domain. In this article we discuss a basic principle of track circuit mathematical model design that could be used to generate such data set. We also apply this principle and a combination of some existing methods to design and demonstrate a mathematical model of the 25 Hz AC track circuit.

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.

This article discusses the process of maintenance of railway automation devices. The aim of the work is to reduce labor costs for maintenance of track circuits of railway automation. Presents the method for automating the process of checking on the shunt track circuits shunting sensitivity of track circuit by at cross-rack and scheme of the device that implements this method. The values of shunt resistance equivalent to the imposition of regulatory shunt at predetermined points of the track circuit are calculated. The results obtained in the paper can be used for the improvement of systems of automation of existing 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.