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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2017 Volume 8, Issue 3, Pages 109–131 (Mi ps269)

This article is cited 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

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.

UDC: 629.7.05

Received: 12.05.2017
Accepted: 25.09.2017

DOI: 10.25209/2079-3316-2017-8-3-109-131



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