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Scientific and technical journal established by OSTU. Media registration number: ПИ № ФС77-75780 dated May 23, 2019. ISSN: 2220-4245. Subscription index in the online catalog «Subscription Press» (www.akc.ru): E28002. Subscription to the electronic version is available on the «Rucont» platform.
The journal is included in the Russian Science Citation Index and in the List of Russian Scientific Journals .

Search results

  • V.2(14), 2013
    96-102

    Failure analysis of technological radiocommunication system equipment

    The current state of technological radiocommunication systems was analyzed, prospects of their development were shown in the article, and the necessity of further use of analogue radio communication channels was substantiated. Statistical data analysis of radiocommunication equipment failures used on the South Urals Railway is fulfilled.
  • V.2(14), 2013
    118-126

    Technological design of renovation company of rolling-stock

    The paper discusses the design enterprises for repair in dvizhnogo of railway vehicles, analyzes contemporary experience, are reproduced the main criteria for assessing the quality of design solutions and provides a methodology to optimize them with the use of mathematical modeling.
  • V.2(34), 2018
    125-139

    An approach for automated quality estimation of preventive maintenance in regional communication center

    Railway telecommunications are inherent facilities participating in the organization of efficient and safe transport process. Generally, reliable operation of telecommunication devices is provided by the implementation of preventive maintenance that quality analysis is performed on the incidents during the latest reporting period. The possibility of experimental estimation using computer techniques surely has advantages. In the paper, we have defined an objective of the development of a simulation model of the operation process of railway telecommunications so as to assess the inherent availability and maintenance quality indicator. The model allows carrying out a computer experiment and estimation of the abovementioned measures in an automated way taking into account the following input parameters: failure rates, periodicity and length of maintenance, time of repair, the probability of erroneous actions of service staff and the probability of spare and replacement parts lack.