Use of Important Measure Factors for Evaluating the Contribution of Individual Components to the Performance of Critical Systems

被引：2
|
作者：
Mohamed-Larbi, Rebaiaia [1 ]
Daoud, Ait-Kadi [1 ]
机构：
[1] Laval Univ, Dept Mech Engn, Quebec City, PQ, Canada
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 10期
关键词：
Include Probability Risk Assessment; Probability Safety Assessment; Reliability Importance Measures; Networked Systems;
D O I：
10.1016/j.ifacol.2019.10.053
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The purpose of this paper is to provide an analysis tool for computing the risk of complex systems according to some Importance Measure Concepts (IMC) in such a way that the results of the computation are displayed in terms of a list of preference which classifies the components according to their IMC values. From this list, one can determine the risk amplitude and take the necessary decisions for making the system less risky, safer and robust. We have tested the effectiveness of these IMC's using a case study of a multicomponent communication system. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：334 / 339
页数：6
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