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Aerospace Instrument-Making

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APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE PROCESSES OF MONITORING AND DIAGNOSTICS OF ONBOARD SYSTEMS OF SPACE VEHICLES
E.V. Kopkin, A.Yu. Ivanyu

The tasks of monitoring and diagnosing the technical condition of onboard systems of space vehicles using artificial intelligence technologies are considered. Promising methods of modeling the technological processes of the functioning of space vehicles based on artificial neural networks, as well as generalized computational models are described. Examples of the application of the considered methods in the diagnosis of on-board systems of space assets are given, the expediency of their use in the on-board equipment of the product and in the ground-based automated control system is evaluated. The direction of application of the materials of the article is a review of promising methods for monitoring and diagnosing the technical condition of space vehicles.
Keywords: technical condition monitoring, computational process model, artificial neural networks, G-networks, diagnostics, telemetry information, space vehicles.


DOI: 10.25791/aviakosmos.7.2022.1290

Pp. 42-49.

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