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Methodology of Intelligent Analysis and Forecasting for the State of Resources in the Russian Segment of the International Space Station Based on Digital Identification Models

  • intellectual control systems, data analysis
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Abstract

We consider the methodology of intelligent analysis of telemetry data based on modern mathematical methods of information processing. We define urgent tasks of analysis and forecasting, taking into account the 20-year experience of operating the Russian segment of the International Space Station (ISS RS). We give a basic description of these methods and present the results of testing on real data obtained from ISS RS telemetry information.

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Authors and Affiliations

  1. SJC Rocket and Space Corporation Energia, Korolev, Moscow oblast, Russia

    S. V. Solov’ev

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  1. S. V. Solov’ev
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Solov’ev, S. Methodology of Intelligent Analysis and Forecasting for the State of Resources in the Russian Segment of the International Space Station Based on Digital Identification Models. Autom Remote Control 81, 1692–1701 (2020). https://doi.org/10.1134/S0005117920090088

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  • DOI: https://doi.org/10.1134/S0005117920090088

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