Open Access
Issue
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
Article Number 05052
Number of page(s) 9
Section Engineering Materials Science, Intelligent Transport Systems and Transport Logistics
DOI https://doi.org/10.1051/e3sconf/202126405052
Published online 02 June 2021
  1. Aripov N., Baratov D., Methods of constructing a mathematical model of electronic document management of technical documentation of railway automation, Automation in transport (3.) 1 pp. 98–111, (2017) [Google Scholar]
  2. Efanov D., Formation and development prospects of systems of functional control and monitoring of devices of railway automation and telemechanics, Automation in transport, (2), 1 pp. 124–148, (2016) [Google Scholar]
  3. Sedykh D., Sukhanov S.A., Application of the branch format of technical documentation for devices of railway automation and telemechanics for the integration of applications, Bulletin of the Petersburg University of Railways, 3 pp. 64–72, (2005). [Google Scholar]
  4. Denisov B.P., Rubinstein N.I., Rastegaev S.N., Vorobey N.Yu., Automation of the design of railway automation and telemechanics systems based on AWP-PDD version 6, Actual problems of the development of railway automation and telemechanics systems. 1 pp. 33–38. [Google Scholar]
  5. Aripov N., Baratov D., Features of Construction of Systems of Railway Automatics and Telemechanics at the Organization of High-Speed, Traffic in the Republic of Uzbekistan Procedia Engineering, 134 pp. 175–180, (2016) [Google Scholar]
  6. Baratov D., Aripov N., Formalization of electronic technical document management of railway automatics and telemechanics Europaische Fachhochschule No. 8 pp. 33–35, (2016) [Google Scholar]
  7. Vasilenko M., Denisov B., Bulavsky P., Sedykh D., Principles of organizing electronic document management of technical documentation, Transport of the Russian Federation Journal of Science Practice Economics, 7 (7) pp. 61–66, (2006). [Google Scholar]
  8. Shamanov V., The magnetic properties of rail lines and level of interferences for the apparatus of automatic control and telemechanics, Russian Electrical Engineering, 86, (9) pp. 548–552, (2015) [Google Scholar]
  9. Efanov D., Plekhanov P., Ensuring traffic safety through technical diagnostics and monitoring of railway automation and telemechanics devices, Transport of the Urals. 3 pp. 44–48, (2011). [Google Scholar]
  10. Ibrahim S., Ozgur T. K., Ilker U., Galip C., Specication and formal verication of safety properties in a point automation system, Turkish Journal of Electrical Engineering & AMP; Computer Sciences, 24 pp. 1384–1396, (2016). [Google Scholar]
  11. Baratov D., Aripov N., Muxiddinov O., Jumanov X., Block diagram of the automatic model of technical documentation Journal of Physics: Conference Series, 1614, (1), p. 012032 IOP Publishing, (2020). [Google Scholar]
  12. Yurkov N.K. Functional model of information technology for ensuring the reliability of complex electronic systems taking into account external influences Proceedings of the International Symposium, “Reliability and Quality” T. 1, (2014) [Google Scholar]
  13. Baratov D. Astanaliev, E., Using innovative technologies of electronic technical document management for railway automation and telemechanics, International Engineering Journal for Research and Development, 5 pp. 5–9, (2020) [Google Scholar]
  14. Dubranovsky I.V. Verification of C #-programs: translation from C # -light to C # -kernel //, Preprint of ISI SB RAS JV. p 120, (2004) [Google Scholar]
  15. Vasilenko M. N. Electronic document management in railway signalling, Automation, communication, Informatics. 8. pp. 2–3, (2014) [Google Scholar]
  16. Bulavsky P.E. Conceptual model of electronic document management of technical documentation, Transport of the Russian Federation, 1 (32). p. 60–63, (2011) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.