DocumentCode
3515052
Title
Multi-state component importance analysis using multi-state multi-valued decision diagrams
Author
Shrestha, Akhilesh ; Xing, Liudong ; Coit, David W.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts Dartmouth, Dartmouth, MA, USA
fYear
2009
fDate
20-24 July 2009
Firstpage
99
Lastpage
103
Abstract
Component importance analysis helps identify the vulnerabilities within a system and quantify the criticality of the system components. Multistate component importance analysis poses unique challenges to the existing methods that are primarily based on binary state applications. This paper presents a multistate multivalued decision diagram based analytical method for multistate 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.
Keywords
Monte Carlo methods; decision diagrams; reliability theory; Monte Carlo simulation based method; binary state application; multistate component importance analysis; multistate multivalued decision diagram; Analytical models; Application software; Computer integrated manufacturing; Design optimization; Modeling; Monte Carlo methods; Particle measurements; Reliability; Risk management; Systems engineering and theory; Monte Carlo simulation; composite importance measure (CIM); multi-state multi-valued decision diagram (MMDD); multi-state system (MSS);
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4903-3
Electronic_ISBN
978-1-4244-4905-7
Type
conf
DOI
10.1109/ICRMS.2009.5270231
Filename
5270231
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