On the issue of analyzing the technical condition of «Briz-M» upper stages based on a set of diagnostic models
Аuthors
1*, 2**, 21. Head of Department, G.S. Titov Main Test and Space Systems Control Centre, Krasnoznamensk, Russia
2. Mlitary spaсe Aсademy named after A.F. Mozhaisky, St. Petersburg, Russia
*e-mail: birykov2005@yandex.ru
**e-mail: olegplakhin9652@mail.ru
Abstract
This article discusses a set of diagnostic models for assessing the technical condition of an upper stage, created using the methodology of Automated System-Cognitive Analysis (ASCA). The procedure for constructing statistical and system-cognitive models based on the processing of large volumes of telemetry data is described. During the analysis, the initial data is transformed into a training sample—a database of events. Subsequently, cause-and-effect relationships between these events are identified, enabling the transition from data to information and knowledge. The resulting models accumulate knowledge about the state of the upper stage in various forms, depending on the observed values of the telemetry parameters. A numerical example based on empirical data is provided to illustrate the model-building process.
Keywords:
technical condition, upper stage, diagnostic model, Automated System-Cognitive Analysis (ASCA).References
- Dmitriev A.K., Galtsev S.V. Sintez optimal'noy programmy diagnostirovaniya po kriteriyu maksimuma dostovernosti [Synthesis of an optimal diagnostic program based on the maximum reliability criterion] // Izvestiya vysshih uchebnyh zavedenij. Priborostroenie [News of higher educational institutions. Instrumentation]. – 1991. – vol. 34. – No. 9. – P. 3-12.
- Kopkin E.V., Myshko V.V. Algoritm postroyeniya optimal'noy po dostovernosti gibkoy programmy analiza tekhnicheskogo sostoyaniya ob"yekta na osnove printsipa maksimuma [An algorithm for constructing an optimal flexible reliability program for analyzing the technical state of an object based on the maximum principle] // Aviakosmicheskoe priborostroenie [Aerospace instrumentation]. – 2024. – No. 3. – P. 29-43.
- Dmitriev A.K. Sintez gibkoy programmy diagnostirovaniya metodom vetvey i granits [Synthesis of a flexible diagnostic program using the branch and bound method] // Izvestiya vysshih uchebnyh zavedenij. Priborostroenie [News of higher educational institutions. Instrumentation]. – 1989. – vol. 32. – No. 11. – P. 29-34.
- Dmitriev A.K., Myshko V.V. Sintez gibkoy programmy kontrolya tekhnicheskogo sostoyaniya ob"yekta po informatsionnomu pokazatelyu [Synthesis of a flexible program for monitoring the technical condition of an object based on an information indicator] // Izvestiya vysshih uchebnyh zavedenij. Priborostroenie [News of higher educational institutions. Instrumentation]. – 1998. – vol. 41. – No. 5. – P. 36-46.
- Kopkin E.V., Kobzarev I.M., Zvereva E.E. Kvazioptimal'nyy algoritm postroyeniya gibkoy programmy analiza tekhnicheskogo sostoyaniya ob"yekta [Quasi-optimal algorithm for constructing a flexible analisis program of an object technical state] // Naukoyemkiye tekhnologii v kosmicheskikh issledovaniyakh Zemli [H&ES Research] – 2017. – vol. 9. – No. 3. – P. 4–12.
- Kopkin E.V., Popov D.V., Myshko V.V. Kvazioptimal'nyy algoritm vybora mnogoznachnykh diagnosticheskikh priznakov na osnove ucheta tsennosti informatsii, poluchayemoy v protsesse analiza tekhnicheskogo sostoyaniya ob"yekta [Quasioptimal algorithm for selecting multi-valued diagnostic features based on taking into account the value of information obtained in the process of analyzing the technical condition of an object] // Izvestiya SPbGETU «LETI» [LETI Transactions on Electrical Engeneering & Computer Sceence] – 2021. – No. 2. – P. 31–42.
- Dmitriev A.K. Principles of algebraic aggregation in diagnostic problems / A.K. Dmitriev // News of universities. Instrument-making. – 1997. – Vol. 40, No. 8. – Pp. 5-13.
- Shmelev V.V. Systematization of requirements for the development of promising hardware and software systems for processing telemetry information of rocket and space technology // Proceedings of the A.F. Mozhaisky Military Space Academy. - Issue 646. - St. Petersburg: A.F. Mozhaisky Military Space Academy, 2015. - Pp. 38-46.
- Shmelev V.V., Tkachenko V.V. Methodology for Assessing the Significance of Telemetered Parameters for Identifying Observed Objects – Proceedings of the Second Scientific and Practical Conference of the Ministry of Defense of the Russian Federation – Military Academy of the General Staff. Moscow. 2011, pp. 152-161. – Mirny: 1st State Examination Committee of the Ministry of Defense of the Russian Federation, 2016. pp. 239-243.
- Mal'tsev VB Analysis of the State of Technical Systems. – Ministry of Defense of the Russian Federation, 1992.
- Jucheng Xu, Kanglin Ku, Meng Yuan. Feature selection using information theory and an algebraic approach in a neighborhood decision making system // Entropy – 2020. – No. 23, Pp. 204-213.
- Shmelev V.V. Solution of the Optimization Problem on the Network Model of the Technological Process / V.V. Shmelev // Proceedings of MAI. - 2016. - No. 88. - P. 12.
- Barkalov, A. Yu. Solution of the problem of allocation of discrete types of resources by methods of linear programming // Bulletin of the South Ural State University. Series: Computer technologies, control, radio electronics. - 2020. - Vol. 20. - No. 2. - Pp. 26-35.
- Shindina E.A. Application of the branch and bound method for solving an integer linear programming problem // Scientific progress – creativity of the young. – 2016. – No. 3. – P. 319-321.
- Nazarov AV, Kozyrev GI, Shitov IV Modern Telemetry in Theory and Practice – St. Petersburg: Science and Technology, 2007. 627 p. Mal'tsev VB Analysis of the State of Technical Systems. – Ministry of Defense of the Russian Federation, 1992.
Download