Multi-state component importance analysis using multi-state multi-valued decision diagrams

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...

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Bibliographic Details
Published in2009 8th International Conference on Reliability, Maintainability and Safety pp. 99 - 103
Main Authors Shrestha, A., Liudong Xing, Coit, D.W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Analytical models
Application software
composite importance measure (CIM)
Computer integrated manufacturing
Design optimization
Modeling
Monte Carlo methods
Monte Carlo simulation
multi-state multi-valued decision diagram (MMDD)
multi-state system (MSS)
Particle measurements
Reliability
Risk management
Systems engineering and theory
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Summary: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.
ISBN:1424449030
9781424449033
DOI:10.1109/ICRMS.2009.5270231