We propose an algorithm to obtain bounds for the steady-state availability using Markov models in which only a small portion of the state space is generated. The algorithm is applicable to models with group repair and phase type repair distributions and involves the solution of only four linear systems of the size of the generated state space, independently on the number of “return” states. Numerical examples are presented to illustrate the algorithm and compare it with a previous bounding algorithm
A method to bound the steady-state solution of large Markov chains is presented. It integrates the c...
Element redundancy is widely employed technique to improve the system reliability. A k-out-of-m:G re...
Abstract: For deriving the steady state probabilities and the availability of K-out-of-N:G systems w...
We propose a method to obtain bounds for the steady-state availability using Markov models in which ...
System availability is the probability of the system being operable at instant t. Markov chains are ...
The paper develops a method, called bounding regenerative transformation, for the computation with ...
Two new algorithms are proposed for the computation of bounds for the steady-state reward rate of ir...
Two new algorithms are proposed for the computation of bounds for the steady-state reward rate of ir...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-tole...
We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time ...
We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time ...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
The transient analysis of large continuous time Markov reliability models of repairable fault-tolera...
A method to bound the steady-state solution of large Markov chains is presented. It integrates the c...
Element redundancy is widely employed technique to improve the system reliability. A k-out-of-m:G re...
Abstract: For deriving the steady state probabilities and the availability of K-out-of-N:G systems w...
We propose a method to obtain bounds for the steady-state availability using Markov models in which ...
System availability is the probability of the system being operable at instant t. Markov chains are ...
The paper develops a method, called bounding regenerative transformation, for the computation with ...
Two new algorithms are proposed for the computation of bounds for the steady-state reward rate of ir...
Two new algorithms are proposed for the computation of bounds for the steady-state reward rate of ir...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-tole...
We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time ...
We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time ...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
The transient analysis of large continuous time Markov reliability models of repairable fault-tolera...
A method to bound the steady-state solution of large Markov chains is presented. It integrates the c...
Element redundancy is widely employed technique to improve the system reliability. A k-out-of-m:G re...
Abstract: For deriving the steady state probabilities and the availability of K-out-of-N:G systems w...