System reliability and sensitivity factors via the MPPSS method

被引：93

作者：

Sues, RH ^{[1
]}

Cesare, MA ^{[1
]}

机构：

[1] Appl Res Associates, SE Div, Raleigh, NC 27615 USA

来源：

PROBABILISTIC ENGINEERING MECHANICS | 2005年 / 20卷 / 02期

关键词：

system reliability; probabilistic engineering; most probable point; reliability methods;

D O I：

10.1016/j.probengmech.2005.02.001

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A procedure is presented for obtaining the reliability of series, parallel, and mixed systems. The method, called Most Probable Point System Simulation (MPPSS) is simple, and numerically-based. We do not make any claims of analytic advance. Nevertheless, the procedure is more accurate than current analytically-based bounding methods (e.g. bi-modal) and it is computationally efficient. In addition, the method can be used to obtain system sensitivity factors, that is, the importance of each random variable to the system reliability. The procedure is demonstrated through three example illustrations. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：148 / 157

页数：10

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