Models and Solutions for Practical Reliability and Availability Assessment
We are dependent on computer, communication, cyber physical systems (CPS), IoT, transportation, financial and many other technical systems in our daily lives. Reliability and availability are key attributes of these systems, thus making the assessment of these attributes essential. Reliability and availability assessment, while system is under design precludes the use of data-driven methods, as no system level data is collectible in that phase of system life cycle. A stochastic-model-based assessment that relies on the detailed knowledge of system’s internal structure can then be appealed to. Calculations based on such a stochastic model can be used to deduce the system’s reliability and availability. The solution of such a model can be carried out either using discrete-event simulation or using analytic-numeric techniques. In this chapter we consider analytic-numeric solution methods of stochastic model for system reliability and availability assessment. Non-state-space, state space, and multi-level methods are explored via real system as examples.
