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vol 67 / April, 2024
Article

DOI 10.17586/0021-3454-2020-63-11-1003-1011

UDC 004.8

INVESTIGATION OF STREAM CLUSTERING ALGORITHMS WHEN SOLVING THE PROBLEM OF SMALL SPACECRAFT TELEMETRY DATA ANALYSIS

V. Y. Skobtsov
The Joint Institute for Informatics Problems of the National Academy of Sciences of Belarus, Laboratory of Information Security Problems; Leading Researcher;


N. A. Novoselova
PhD; The Joint Institute for Informatics Problems of the National Academy of Sciences of Belarus, Laboratory of Bioinformatics; Leading Researcher;


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Abstract. The problem of analysis of telemetry data of small spacecraft onboard equipment aimed at identification of its functioning state, is considered. Algorithms of stream clustering in solving this problem are studied. It is noted that the use of such algorithms makes it possible to single out the cluster data structure, as well as to trace its dynamics together with the automatic detection of abrupt changes associated both with a change in the state of onboard equipment systems functioning, and with the possible appearance of failures in their operation.
Keywords: small satellites onboard equipment, telemetry data, streaming clustering, micro-clusters, macroclusters, validation criteria

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