ABSTRACT
The reliability of the system depends on many factors – the reliability and maintainability of system parts, the structure of system assembles, redundancy modes, maintenance and restoration strategies, features of external and internal diagnostic tools and usage modes. System failure states can also be divided into classes corresponding to criticality levels, which led to the development and study of reliability models of safety analysis. This chapter demonstrates the capabilities of the Markov reward processes-method by the example of calculating the reliability, safety, performance indices of systems with built-in test and external periodic testing. Traditional methods of reliability improving can be extended by design solutions to ensure multi-level operation. One of the limitations of the Markov model usage is the dimensionality problem, since for multi-element and multi-state systems with different redundant sub-systems arises the growth of the state space and significant complexity of the transition graph construction.
