Explicit and implicit methods for probabilistic common-cause failure analysis

被引：38

作者：

Wang, Chaonan ^{[1
]}

Xing, Liudong ^{[1
]}

Levitin, Gregory ^{[2
]}

机构：

[1] Univ Massachusetts, Dartmouth, MA 02747 USA

[2] Israel Elect Corp Ltd, IL-31000 Haifa, Israel

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2014年 / 131卷

基金：

美国国家科学基金会;

关键词：

Probabilistic common-cause failure; External shock; Internal factor; Reliability; Explicit method; Implicit method; PHASED-MISSION SYSTEMS; IMPERFECT FAULT-COVERAGE; RELIABILITY-ANALYSIS; COMPETING FAILURES; SUBJECT;

D O I：

10.1016/j.ress.2014.06.024

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The occurrence of a probabilistic common-cause failure (PCCF) in a system results in failures of multiple system components with different probabilities. A PCCF can be caused by external shocks or propagated failures originating from some components within the system. This paper proposes an explicit method and an implicit method to analyze the reliability of systems subject to internal or external PCCFs. Both methods can handle any arbitrary types of time-to-failure distributions for the system components. Both of the proposed methods are illustrated through detailed analyses of an example computer system. Applicability and advantages are also discussed and compared for the two methods. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：175 / 184

页数：10

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