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Program Systems: Theory and Applications, 2017, Volume 8, Issue 3, Pages 109–131
DOI: https://doi.org/10.25209/2079-3316-2017-8-3-109-131
(Mi ps269)
 

This article is cited in 3 scientific papers (total in 3 papers)

Artificial Intelligence, Intelligent Systems, Neural Networks

The high–performance neural network system for monitoring of state and behavior of spacecraft subsystems by telemetry data

N. S. Abramov, A. A. Talalaev, V. P. Fralenko, V. M. Khachumov, O. G. Shishkin

Ailamazyan Program Systems Institute of Russian Academy of Sciences
References:
Abstract: In work the neural network system of control and diagnostics of subsystems of space vehicles is described. The architecture, basic methods and principles of the software package operation are presented. The efficiency of artificial neural networks in the tasks of monitoring, diagnosing and predicting the behavior of subsystems of the spacecraft are shown. Experimental studies confirming the quality targets were carried out. (In Russian).
Key words and phrases: spacecraft, artificial neural network, monitoring, diagnostics, monitoring, telemetry data, forecasting.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00096_à
Received: 12.05.2017
Accepted: 25.09.2017
Document Type: Article
UDC: 629.7.05
Language: Russian
Citation: N. S. Abramov, A. A. Talalaev, V. P. Fralenko, V. M. Khachumov, O. G. Shishkin, “The high–performance neural network system for monitoring of state and behavior of spacecraft subsystems by telemetry data”, Program Systems: Theory and Applications, 8:3 (2017), 109–131
Citation in format AMSBIB
\Bibitem{AbrTalFra17}
\by N.~S.~Abramov, A.~A.~Talalaev, V.~P.~Fralenko, V.~M.~Khachumov, O.~G.~Shishkin
\paper The high–performance neural network system for monitoring of state and behavior of spacecraft subsystems by telemetry data
\jour Program Systems: Theory and Applications
\yr 2017
\vol 8
\issue 3
\pages 109--131
\mathnet{http://mi.mathnet.ru/ps269}
\crossref{https://doi.org/10.25209/2079-3316-2017-8-3-109-131}
Linking options:
  • https://www.mathnet.ru/eng/ps269
  • https://www.mathnet.ru/eng/ps/v8/i3/p109
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Program Systems: Theory and Applications
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