Decision-theoretic reliability sensitivity

被引：16
|
作者：
Straub, Daniel [1 ]
Ehre, Max [1 ]
Papaioannou, Iason [1 ]
机构：
[1] Tech Univ Munich, Engn Risk Anal Grp, Munich, Germany
来源：
RELIABILITY ENGINEERING & SYSTEM SAFETY | 2022年 / 221卷
关键词：
Sensitivity analysis; Value of information; Reliability; INDEPENDENT IMPORTANCE MEASURE; PARTIAL EXPECTED VALUE; UNCERTAINTY IMPORTANCE; PERFECT INFORMATION; ANALYSIS SAMPLE; PROBABILITY;
D O I：
10.1016/j.ress.2021.108215
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We propose and discuss sensitivity metrics for reliability analysis, which are based on the value of information. These metrics are easier to interpret than other existing sensitivity metrics in the context of a specific decision and they are applicable to any type of reliability assessment, including those with dependent inputs. We develop computational strategies that enable efficient evaluation of these metrics, in some scenarios without additional runs of the deterministic model. The metrics are investigated by application to numerical examples.
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页数：13
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