Quantification of the safety level of a safety-critical control system

Abstract

This paper introduces a method of evaluating the hazardous failure rate of a safety relevant control system if the state probability distribution is given as a result of an absorbing Continuous Time Markov Chain analysis. Markov Chains with more than one absorbing state are contemplated and eventually the case study is presented. 

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