New Results on the Differential Importance Measures of MarkovianSystems

摘要

This paper presents the development of the differential importance measures (DIM),rnproposed recently for the use in risk-informed decision-marking, in the context of dynamic systemsrnincluding inter-component, functional dependencies, or more generally, systems described by Markovrnmodels at steady state. Several new evaluation formulas of the existing DIMs are provided. The studyrnalso proposes an extension one that provides better results than those obtained from these existingrnmeasures, and a new calculation formula of the total variation of the system availability provoked byrnthe simultaneous changes of system parameters. A numerical example is introduced to compare thernextension proposed and these existing measures. The suggestions for the future research in this arearnare also presented.