Semi-Markov processes for reliability studies
Semi-Markov processes for reliability studies
We study the evolution of a multi-component system which is modeled by a semi-Markov process. We give formulas for the avaibility and the reliability of the system. In the r-positive case, we prove that the quasi-stationary probability on the working states is the normalised left eigenvector of some computable matrix and that the asymptotic failure rate is equal to the absolute value of the convergence parameter r.
Semi-Markov switches
Simulation of high available fault-tolerant systems by simulating stiff and large Markov chains.
Stochastic behaviour of a complex system with bulk failure and priority repairs
Stoghastig behavior of an intermittently used system