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Due to various disturbing factors affecting data reception, telemetry information often contains outliers and lost entries. Detection of outliers and anomalies is one of the key problems of satellite data analysis. A comparison of several statistical methods of outlier detection in telemetric information on the power supply system, obtained from the “AIST” small satellites, was carried out for the purpose of increasing the accuracy of satellite’s systems monitoring based on the telemetry data. The structure of telemetry from the power supply and thermal control systems of the “AIST” small satellites was analyzed. Several statistical methods for outlier detection were studied. Methods, described in the paper, allow to detect fast acting changes in telemetry data from “AIST” small satellites.

Analysis of statistical methods for outlier detection in telemetry data arrays, obtained from “AIST” small satellites