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Russian Engineering Research

, Volume 38, Issue 9, pp 677–679 | Cite as

Drone-Based Autonomous Robot Diagnostic System for Gas and Oil Pipelines in the Arctic and Far North

  • Yu. G. Kabaldin
  • D. A. Shatagin
  • A. V. Kiselev
  • M. V. Zhelonkin
  • A. A. Golovin
Article
  • 16 Downloads

Abstract

A drone-based autonomous robot diagnostic system for gas and oil pipelines in the Arctic and Far North has been developed.

Keywords

robot system diagnostic system pipelines drones neural networks remote access 

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References

  1. 1.
    Kabaldin, Yu.G., Anosov, M.S., and Zinov’ev, Yu.A., Analysis of cold–resistant materials for critical components of technical equipment operating at low temperatures, Mashinostroenie, 2016, vol. 4, no. 2, pp. 14–17.Google Scholar
  2. 2.
    Kabaldin, Yu.G., Shatagin, D.A., Laptev, I.L., and Anosov, M.S., Systems of intellectual diagnostics of the structural stability condition of structural elements and transport vehicles under low temperatures, Proc. of Materials the Int. Sci. Conf. “Science 21st Century,” Moscow, 2015, pp. 62–70.Google Scholar
  3. 3.
    Kabaldin, Yu.G., Laptev, I.L., Shatagin, D.A., Anosova, M.S., and Zotova, V.O., Structural failure at low temperatures and stability diagnostics, Russ. Eng. Res., 2016, vol. 36, no. 4, pp. 289–293.CrossRefGoogle Scholar

Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  • Yu. G. Kabaldin
    • 1
  • D. A. Shatagin
    • 1
  • A. V. Kiselev
    • 1
  • M. V. Zhelonkin
    • 1
  • A. A. Golovin
    • 1
  1. 1.Alekseev Nizhny Novgorod State Technical UniversityNizhny NovgorodRussia

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