Automated Logical-Probabilistic Methodology and Software Tool as Component of the Complex of Methodologies and Software Tools for Evaluation of Reliability and Survivability of Onboard Equipment of Small Satellites

The paper presents solutions for current problems with estimation and analysis of indicators of reliability and survivability in onboard equipment (OE) of small satellites (SS) based on the logical-probabilistic approach to the reliability and survivability estimation of complex systems. There were developed modified logical-probabilistic method and software tool for evaluating the reliability and survivability of OE SS systems. The correctness of suggested method and software tool was shown by computational experiments on some systems of OE SS similar to Belarusian SS, later compared with “Arbitr” software complex results. The software tool was integrated into the complex of methodologies and software tools for evaluation, analysis and prediction of the values of reliability and survivability indicators of OE SS in local desktop and distributed web versions

Service-oriented distributed software complex for evaluation and multi-criteria analysis of reliability and survivability of on-board equipment of small satellites: Russian and Belarusian segments

The paper presents solutions to the problems of estimation, analysis and forecasting of indicators of reliability, survivability and efficiency of on-board equipment (BE) of small satellites (SS) in standard and specified conditions of operation. A distributed software complex for multi-criteria evaluation, analysis and prediction of the values of reliability and survivability indicators of SS BE was developed taking into account the factors of outer space, as well as control of their reconfiguration at different stages of the life cycle (SPIIRAS). The developed complex of methodologies and software tools for estimating the reliability of SS BE (UIIP) was integrated as a distributed segment into the SPIIRAS software complex. The developed software systems are based on using the applied control theory of structural dynamics of complex objects, as well as the developed methods of estimation, analysis and forecasting of indicators of reliability, survivability and efficiency of SS BE, and database mining approach