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Journal of Automation and Information Sciences

年間 12 号発行

ISSN 印刷: 1064-2315

ISSN オンライン: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Mathematical Models and Methods of the Analysis of Computer Networks of Control of Power Supply of Railways Traction Substations

巻 49, 発行 2, 2017, pp. 50-60
DOI: 10.1615/JAutomatInfScien.v49.i2.50
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要約

The analysis of the evolution of power supply networks of railways has showed that the solution of complex optimization problems of power consumption and improvement of railway traffic safety is possible due to intellectualization of electric power supply processes. The computer network of power supply control at the level of traction substations, which adequately displays its topology and the graph of network is offered. On the basis of differential transformations a mathematical model of computer architecture of control of traction substations power supply, as well as the methods of determining in analytical form the set of probability values of the states of the graph nodes of computer network and criteria for calculating such indicators: throughput of the nodes, the average number of requests that are processed, and the number of failures of service calls, are developed.

によって引用された
  1. Stasiuk O. I., Goncharova L. L., Mathematical Models and Methods for Analyzing Computer Control Networks of Railway Power Supply, Cybernetics and Systems Analysis, 54, 1, 2018. Crossref

  2. Stasiuk O. I., Grishchuk R. V., Goncharova L. L., Mathematical Differential Models and Methods for Assessing the Cybersecurity of Intelligent Computer Networks for Control of Technological Processes of Railway Power Supply, Cybernetics and Systems Analysis, 54, 4, 2018. Crossref

  3. Stasiuk Aleksander, Kuznetsov Valeriy, Goncharova Lidia, Hubskyi Petro, Models of the Computer Intellectualization Optimal Strategy of the Power Supply Fast-Flowing Technological Processes of the Railways Traction Substations, Communications - Scientific letters of the University of Zilina, 23, 2, 2021. Crossref

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