A method is presented which employs multistate fault trees to determine the reliability of a system wholly or partially comprised of continuous random variables. The advantage of this method over Monte Carlo simulation is that an algebraic expression for system reliability can be generated which, in turn, can be used to evaluate the reliability of the system corresponding to various probability distributions. A four-bar function generating mechanism and a single-shoe drum brake are considered as illustrative examples which compare the results of the present approach to those obtained by the Monte Carlo method.
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Industrial and Manufacturing Engineering