Certificate of Registration Media number Эл #ФС77-53688 of 17 April 2013. ISSN 2308-6033. DOI 10.18698/2308-6033
  • Русский
  • Английский

Intelligent analysis technique for automated prediction of spacecraft status

Published: 03.03.2016

Authors: Soloviev S.V.

Published in issue: #2(50)/2016

DOI: 10.18698/2308-6033-2016-2-1469

Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control

The article considers methods of predicting technical status of spacecraft. Differences between intelligent data analysis and traditional algorithms are given. The process of introducing intelligent systems into spacecraft flight control practice is evaluated.

[1] Eliseev A.S. Tekhnika kosmicheskikh poletov [Space flight technology]. Moscow, Mashinostroenie Publ., 1983.
[2] Kravets V.G. Avtomatizirovannye sistemy upravleniya kosmicheskimi poletami [Automated space flight control systems]. Moscow, Mashinostroenie Publ., 1995.
[3] Lyubinskiy V.E., Soloviev V.A. Polet - Flight, 2005, no. 6, pp. 3-6.
[4] Soloviev V.A. Kontrol informatsii i prinyatie operativnykh resheniy pri upravlenii poletom pilotiruemykh kosmicheskikh apparatov [Information monitoring and operational decision-making in manned spacecraft flight control]. Moscow, BMSTU Publ., 1998.
[5] Derevyanko V.V. Primenenie DataMining v kosmicheskikh prilozheniyakh [Data Mining applications in space technologies]. Issledovaniya naukograda [Research of the "Science City"], 2012, no. 1 (1), pp. 47-51.
[6] Soloviev V.A., Lyubinskiy V.E., Zhuk E.I. Pilotiruemye polety v kosmos - Manned Space Flight, 2012, no. 1 (3), pp. 15-26.
[7] Paklin N. Algoritmy klasterizatsii na sluzhbe DataMining [Clusterisation algorithms in service of Data Mining]. Available at: (accessed 28 December, 2015).
[8] Iverson D.L. Data Mining Applications for Space Mission Operations System Health Monitoring. NASA Ames Research Center, Moffett Field, California. Available at: (accessed 28 December, 2015).
[9] Iverson D.L., Rodney Martin. General Purpose Data-Driven System Monitoring for Space Operations. NASA Ames Research Center, Moffett Field, California. Available at: (accessed 28 December, 2015).
[10] Iverson D.L. Inductive System Health Monitoring Published in the Proceedings of The 2004 International Conference on Artificial Intelligence (IC-AI’04), CSREA Press, Las Vegas, NV, June 2004. URL: (accessed 28 December, 2015).
[11] Teubert Ch., Scott Poll. Application of Inductive Monitoring System to Plug Load Anomaly Detection. NASA USRP Intern, Iowa State University, Ames, IA, 50011, USA. Available at: (accessed 28 December, 2015).
[12] Schwabacher M. Pre-Launch Diagnostics for Launch Vehicles. NASA Ames Research Center. Available at: (accessed 28 December, 2015).