TY - GEN
T1 - Multi-state component criticality analysis in multi-state systems
AU - Ramirez-Marquez, J. E.
AU - Coit, D. W.
PY - 2005
Y1 - 2005
N2 - This paper presents and evaluates composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). From a reliability and system design perspective, importance measures are important tools to evaluate and rank the impact and criticality of individual components within a system. For multi-state systems, previously developed measures sometimes do not meet all user needs.The major focus of the study is to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability. A Monte Carlo (MC) simulation method is used for computing the proposed CIM metrics. Experimental results for different system complexities show that these newCIM can effectively estimate the criticality of components with respect to multi-state system reliability. For relatively complex MSMC, CIM present a computationally efficient and analytically sound approach for measuring component criticality.
AB - This paper presents and evaluates composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). From a reliability and system design perspective, importance measures are important tools to evaluate and rank the impact and criticality of individual components within a system. For multi-state systems, previously developed measures sometimes do not meet all user needs.The major focus of the study is to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability. A Monte Carlo (MC) simulation method is used for computing the proposed CIM metrics. Experimental results for different system complexities show that these newCIM can effectively estimate the criticality of components with respect to multi-state system reliability. For relatively complex MSMC, CIM present a computationally efficient and analytically sound approach for measuring component criticality.
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M3 - Conference contribution
AN - SCOPUS:33748428223
SN - 0415383420
SN - 9780415383424
T3 - Advances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005
SP - 1671
EP - 1677
BT - Advances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005
T2 - 16th European Safety and Reliability Conference, ESREL 2005
Y2 - 27 June 2005 through 30 June 2005
ER -