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

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.