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Aerospace Instrument-Making

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PERSPECTIVE SYSTEM FOR MONITORING AND PREDICTING OF THE SPACECRAFT STATE BASED ON THE ANALYSIS OF INTEGRATED INFORMATION
N.S. Abramov V.F. Zadneprovsky A.A. Talalaev V.P. Fralenko M.V. Khachumov

This article is devoted to the extension of spacecraft life cycle by means of monitoring
and diagnosis based on artificial intelligence methods. We reviewed international
standards and proposed setting targets for monitoring and predicting of
spacecraft state. Particular attention is given to controlled information types, advice
and analysis methods based on neural networks. Architecture of experimental
hardware and software system is proposed, described its implementation features.
These tasks will allow the extension of the spacecrafts life cycle and production life,
to give them optimum weight and size characteristics, have more opportunities for
the domestic space industry. The developed system will be able to solve the problems
of spacecraft subsystems monitoring and diagnosis by telemetry data, to classify
encountered problems in near-real time.
Key words: spacecraft, monitoring, control, system, telemetry data.

Contacts: Е-mail: n-say@nsa.pereslavl.ru, Е-mail: vfz@pereslavl.ru, E-mail: arts@arts.botik.ru, Е-mail: alarmod@pereslavl.ru, Е-mail: khmike@inbox.ru

Pp. 33-48.

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