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Browsing by Author "Bolshakov, Yu. L."

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    Development a Forecasting Method of Friction Pairs Wear of the Current Collection
    (Wydawnictwo Instytutu Kolejnictwa, Warszawa, 2017) Antonov, Andrii V.; Bolshakov, Yu. L.; Sychenko, Viktor G.
    EN: Development a forecasting method of friction pairs wear of the current collection on electric rail transport.Relevance. The most costly in the operation of the electrified railway transport are maintenance and repair of contact networks and pantographs. The costs magnitude depends of the catenary type, electric rolling stock, materials of the friction pair "contact wire – contact strip" and environment parameters. For today there is no consensus regarding the choice of the pantograph contact strips type for the specific operating conditions of the electric rolling stock. Therefore, the resource elements of the friction pair inefficiently used. A solution to this problem would be to a forecasting method of friction pairs wear of the current collection. Scientific novelty. Developed a method forecasting wear of contact wires and contact strips basis on the of the neural network model. To build a neural network was used the experimental dependences and was taken into account the change pressing force of the pantograph along span of the catenary, current value, current collecting elements type and modify the parameters environment. Practical importance. The proposed method allows to estimate the wear of the contact pair without the necessity for additional bench tests. This will significantly increase the effectiveness of the design new and modernization of already-exploited contact network sections.

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