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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
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.
Received: 12.05.2017 Accepted: 25.09.2017
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
Linking options:
https://www.mathnet.ru/eng/ps269 https://www.mathnet.ru/eng/ps/v8/i3/p109
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Abstract page: | 223 | Full-text PDF : | 82 | References: | 27 |
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