Software tool for evaluation of reliability and survivability of complex technical system based on logical-probabilistic methodology
https://doi.org/10.35596/1729-7648-2021-19-8-72-80
Abstract
The paper presents solutions for estimation and analysis of complex system (CS) reliability and survivability indicators based on the logical-probabilistic approach. Modified logical-probabilistic method and software tool for evaluating the reliability and survivability of onboard equipment (OE) of small satellites were developed (SS). The correctness of the suggested method and software tool was shown by computational experiments on some systems of CS SS similar to Belarusian SS, and later compared with the “Arbitr” software complex results.
Keywords
About the Authors
V. Yu. SkobtsovBelarus
Vadim Yurievich Skobtsov – PhD., Associate Professor, Leading Researcher
220012, Republic of Belarus, Minsk, Surganova St., 6, United Institute of Informatics Problems
N. V. Lapitskaya
Russian Federation
Natalia V. Lapitskaya – PhD., Associate Professor, Head of POIT Department
Minsk
References
1. Mozhaev A.S. The technology of automated structural and logical modeling of reliability, survivability, safety, efficiency and risk of functioning the systems. Instruments and Systems: Monitoring, Control, and Diagnostics. 2008 9:1-14.
2. Mozhaev A.S. and Grommov V.N. Theoretical foundations of the general logical-probabilistic method of automated systems modeling. St. Petersburg: VITU; 2000.
3. Skobtsov V., Novoselova N., Arhipov V., Potryasaev S. Intelligent telemetry data analysis of small satellites. Cybernetics and Mathematics Applications in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing. Springer International Publishing Switzerland. 2017;574:351-361.
4. Cormen T.H., Leiserson C.E., Rivest R.L., Stein C. Introduction to Algorithms. 3rd edition. The MIT Press; 2009.
Review
For citations:
Skobtsov V.Yu., Lapitskaya N.V. Software tool for evaluation of reliability and survivability of complex technical system based on logical-probabilistic methodology. Doklady BGUIR. 2021;19(8):72-80. https://doi.org/10.35596/1729-7648-2021-19-8-72-80