Approximate sensitivity analysis for acyclic Markov reliability models

被引：29

作者：

Ou, Y ^{[1
]}

Dugan, JB ^{[1
]}

机构：

[1] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22904 USA

来源：

IEEE TRANSACTIONS ON RELIABILITY | 2003年 / 52卷 / 02期

关键词：

dynamic fault tree; importance analysis; Markov chain; sensitivity analysis;

D O I：

10.1109/TR.2003.809657

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Acyclic Markov chains are frequently used for reliability analysis of nonmaintained mission-critical computer-based systems. Since traditional sensitivity (or importance) analysis using Markov chains can be computationally expensive, an approximate approach is presented which is easy to compute and which performs quite well in test cases. This approach is presented in terms of a Markov chain which is used for solving a dynamic fault-tree, but the approach applies to any acyclic Markov reliability model.

引用

页码：220 / 230

页数：11

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