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.