Abstract
The article analyzes the features of training rocket and space technology specialists in the field of predictive maintenance, diagnostics and risks of complex systems based on an integrated interdisciplinary approach aimed at developing competencies related to different life stages of aviation and rocket and space technology products. Relevant competencies for a modern specialist are highlighted, such as assessing and predicting the technical condition of units and systems of launch complexes, ground-based debugging systems, communication systems with on-board computing facilities, real-time modeling systems, and other technical facilities, identifying possible malfunctions, analyzing the causes of their occurrence and making decisions to eliminate them, and mathematical modeling of operation launch complex equipment, justification of the scope and time of routine maintenance and repair work, analysis of the risks of operating potentially dangerous objects of rocket and space technology, development of measures for their management, use of methods of non-destructive testing of the technical condition of space technology. The experience of training specialists in this field at the Bauman Moscow State Technical University in the field of 24 UCSN is analyzed and measures are proposed to improve an integrated interdisciplinary approach.
Keywords
- rocket and space technology
- reliability of RCT products and their main components
- measures to ensure reliability
- diagnostics
- predictive maintenance
- risks
- machine learning
- training of RCT engineering personnel
- integrated competencies
References
Kalugin, V.T., Lutsenko, A.Yu., Romanova-Bolshakova, I.K. The development of digital technologies in the training of specialists on the problems of the life cycle of aviation and rocket and space technology systems. In: Aerospace education in Russia: the answer to the challenge of time. D.A. Kozorez (ed). Moscow, 2023. Ch. 9. Pp. 157–176.
Kalugin, V.T., Lutsenko, A.Yu., Romanova-Bolshakova, I.K. Formation of competencies of engineering personnel in the rocket, space and aviation industries in the field of optimal design of complex technical systems. In: Aerospace education in Russia: the answer to the challenge of time. D.A. Kozorez (ed). Moscow, 2023. Ch. 8. Pp. 136–156.
Kalugin, V.T., Lutsenko, A.Yu., Romanova-Bolshakova, I.K. Features of training specialists in the field of Aviation and rocket and space technology in modern conditions of industry 4.0. Moscow: Moscow Aviation Institute (National Research University) Press, 2025. Pp. 100–128.
GOST R 71996-2025 Unmanned aircraft systems. Assessment of risks associated with the operation of unmanned aircraft systems of a special category. General requirements for conducting. Moscow, Russian Institute of Standardization Press, 2025.
Sergeev, D.A., Rodionov, D.G., Polyakov, P.A., Golikov, G.I., Starchenkova, O.D., Dmitriev, N.D., Konnikov, E.A. An intelligent system for monitoring and adapting the route of unmanned aerial vehicles based on neural network analysis of risk objects. Software systems and computational methods. 2025. No. 1. https: doi.org/10.7256/2454-0714.2025.1.73255. EDN: UZVYID. URL: https://nbpublish.com/library_read_article.php?id=73255
Sudarsanam, S.K. Fuzzy logic based predictive maintenance of complex equipments. December 2014. Conference: ICBAIAt: I.I.Sc. Bangalore.
Abramov, N.S., Talalaev, A.A., Fralenko, V.P., Khachumov, V.M., Shishkin, O.G. High-performance neural network system for monitoring the status and behavior of spacecraft subsystems based on telemetry data. Software Systems: Theory and Applications. 2017. No. 3 (34). Pp. 109–131.