Abstract
An analysis of the typical external factors of a forecasting background is performed for the case when these factors affect the operation of onboard maintenance systems of low-orbit satellites. Taking into account the formulated requirements for the method of forecasting spacecraft characteristics, we have substantiated and tested a neural network prognostic model.
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REFERENCES
Burdakov, V.P. and Zigel', F.Yu., Fizicheskie osnovy kosmonavtiki (Physical Principles of Astronautics), Moscow: Atomizdat, 1975.
Okolozemnoe kosmicheskoe prostranstvo. Spravochnye dannye (Reference Book on the Near-Terrestrial Space), Johnson, F.S., Ed., Moscow: Mir, 1966.
Avakyan, S.V., Vdovin, A.I., and Pustarnakov, V.F., Ioniziruyushchie i pronikayushchie izlucheniya v okolozemnom kosmicheskom prostranstve. Spravochnik (Ionizing and Penetrating Radiation in the Near-Terrestrial Space: A Handbook), St. Petersburg: Gidrometeoizdat, 1994.
Vorob'ev, V.G. and Kozlov, Yu.V., Prognozirovanie tekhnicheskogo sostoyaniya izdelii aviatsionnoi tekhniki. Ch. 1 (Forecasting the Technical Conditions of Aviation Facilities, Part 1), Moscow: Moscow Inst. of Engineers of Civil Aviation, 1977.
Ivakhnenko, A.G. and Myuller, I.A., Samoorganizatsiya prognoziruyushchikh modelei (Self-Organization of Prognostic Models), Kiev: Tekhnika, 1985.
Prokhorovich, V.E., Prognozirovanie sostoyaniya slozhnykh tekhnicheskikh kompleksov (Prognostication for Complex Engineering Systems), St. Petersburg: Nauka, 1999.
Dmitriev, A.K. and Yusupov, R.M., Identifikatsiya i tekhnicheskaya diagnostika (Identification and Technical Diagnostics), Moscow: USSR Ministry of Defence, 1987.
Mezhdunarodnaya kosmicheskaya radiotekhnicheskaya sistema obnaruzheniya terpyashchikh bedstvie (International Space Radiotechnical System for Finding the Victims of Natural Calamities), Shebashevich, V.S., Ed., Moscow: Radio i Svyaz', 1987.
Kozyrev, G.I. and Nazarov, A.V., An Algorithm for Predicting Working Conditions of Onboard Spacecraft-Borne Systems Based on Generalization of Preferences, in Sbornik algoritmov i programm tipovykh zadach (A Collection of Algorithms and Programs for Routine Problems), Issue 18, Moscow: RF Ministry of Defence, 2000, pp. 155–158.
Fizicheskaya entsiklopediya (Physical Encyclopaedia), 1990, vol. 2.
Rosenblatt, F., Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms, Washington, D.C.: Spartan Books, 1962.
Rosenblatt, F., Perceptual Generalization over Transformation Groups. Self-Organizations Systems, Proc. Interdisciplinary Conf. 5-6 May, 1959, pp. 63–100.
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Nazarov, A.V., Kozyrev, G.I. & Shklyar, S.V. Prognostication of Technical Conditions for Low-Orbit Spacecraft with the Use of Neural Networks. Cosmic Research 40, 594–604 (2002). https://doi.org/10.1023/A:1021514031854
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DOI: https://doi.org/10.1023/A:1021514031854