The simulation of complex multicomponent systems by Markov Monte Carlo methods has, to date, been limited to systems where the system performance can be modeled by a time-inhomogeneous Markov process. This model is capable to include component dependencies as well as wear phenomena represented by time-dependent failure rates. A discussion is presented of the formulation and implementation of a generalization of continuous-time Markov Monte Carlo simulation to include the renewal of system components. To demonstrate the use of this generalized Monte Carlo method, it is applied to a variety of problems which include the combined effects of wear and component dependency. Particular emphasis is given to the triple modular redundant system (TMR) with reconfiguration of spares that is widely used in avionic electronics.
|Original language||English (US)|
|Number of pages||5|
|Journal||Proceedings of the Annual Reliability and Maintainability Symposium|
|State||Published - 1988|
ASJC Scopus subject areas
- Engineering (miscellaneous)