An approach to evaluating system well-being in engineering reliability applications

This paper presents an approach to evaluating the degree of system well-being of an engineering system. The functionality of the system is identified by healthy, marginal and risk states. The state definitions permit the inclusion of deterministic considerations in the probabilistic indices used to monitor the system well-being. A technique is developed to determine the three operating state probabilities based on minimal path concepts. The identified indices provide system engineers with additional information on the degree of system well-being in the form of system health and margin state probabilities. A basic planning objective should be to design a system such that the probabilities of the health and risk states are acceptable. The application of the technique is illustrated in this paper using a relatively simple network.