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.
Highlights
The evaluation of reliability and survivability of the complex technical systems, like onboard equipment (OE) for satellites were developed (SS), is an important task of their safe and reliable design and operation.Logic-probabilistic modeling is a method for analyzing the sensitivity of a complex system operating under conditions of uncertainty
The complex was integrated into the software complex for multi-objective assessment, analysis, and prediction of values of reliability and survivability for complex system (CS) SS developed in SPIIRAS
Survivability [2] is an ability of a system to keep operating capacity at random damages of its elements owing to random emergence of the striking factors In order to account for a random damaging factor in the structural model of the system survivability, another new event is added to the developed diagram of functional integrity (DFI): the emergence of the damaging factor (Fig. 1)
Summary
The evaluation of reliability and survivability of the complex technical systems, like OE for SS, is an important task of their safe and reliable design and operation. The features and restrictions of CS SS design allow to apply one of the simplest methods of direct analytic substitution for FSO construction It provides a consistent replacement in the logical FSO of all integrative functions by their equations selected from the system. Survivability [2] is an ability of a system to keep operating capacity at random damages of its elements owing to random emergence of the striking factors (blows, explosions, fires, etc.) In order to account for a random damaging factor in the structural model of the system survivability, another new event is added to the developed DFI: the emergence of the damaging factor (Fig. 1). The obtained logical and probabilistic survivability functions are still monotonous, within the limits of the accepted substantive definitions for the used elementary events
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