Multi-state Component Importance Analysis Using Multi-state Multi-valued Decision Diagrams

被引：11
|
作者：
Shrestha, Akhilesh [1 ]
Xing, Liudong [1 ]
Coit, David W. [2 ]
机构：
[1] Univ Massachusetts Dartmouth, Dept Elect & Comp Engn, N Dartmouth, MA 02747 USA
[2] Rutgers State Univ, Dept Ind & Syst Engn, Piscataway, NJ 08854 USA
来源：
PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT | 2009年
基金：
美国国家科学基金会;
关键词：
composite importance measure (CIM); multi-state multi-valued decision diagram (MMDD); Monte Carlo simulation; multi-state system (MSS); RELIABILITY-IMPORTANCE; SYSTEMS;
D O I：
10.1109/ICRMS.2009.5270231
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Component importance analysis helps identify the vulnerabilities within a system and quantify the criticality of the system components. Multi-state component importance analysis poses unique challenges to the existing methods that are primarily based on binary-state applications. This paper presents a multi-state multi-valued decision diagram-based analytical method for multi-state component importance analysis. The advantages of the proposed method are illustrated through the comparison to a Monte Carlo simulation-based method and the detailed analysis of a case study.
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页码：99 / +
页数：2
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