通过费用最小化分配可靠性

假定并行系统的每阶段的成分有相同的可靠性。提出ECAY算法,设计并行系统。已知目标可靠性,分配可靠性和冗余度到每个子系统,使系统费用最小化。结果显示ECAY可以在很短时间内最优化可靠性分配。和基于LM的算法相比,在分别含有4到9个子系统的系统中,ECAY生成最低的可靠性费用和最优的冗余度级别。因此,和基于LM的算法相比,大系统中ECAY在合理的计算时间里,生成一个更低费用的可靠性分配,且在最优化冗余度分配的过程中,最优化系统设计中的负担和空间阻塞。

Reliability Allocation Through Cost Minimization

It assumed that the components in each stage of a parallel-series system have identical reliability.An algorithm,ECAY,is proposed for the design of systems with parallel-series architecture,which allows the allocation of both reliability and redundancy to each subsystem for a target reliability for minimizing the system cost.Results show that ECAY does the optimal reliability allocation in a very short time.Compared with LM-based algorithms,ECAY produced the lowest reliability costs and the optimum redundancy levels in the successive reliability allocation for all cases studied,viz,systems of 4,5,6,7,8,9 stages or subsystems.Thus ECAY,as compared with LM-based algorithms,yields a less costly reliability allocation within a reasonable computing time on large systems,and optimizes the weight and space-obstruction in system design throughout an optimal redundancy allocation.