Relationships between importance measures and redundancy in systems with dependent components

Identificadores
URI: http://hdl.handle.net/10498/33394
DOI: 10.1017/S0269964819000159
ISSN: 1469-8951
ISSN: 0269-9648
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2020Department
Estadística e Investigación OperativaSource
Probability in the Engineering and Informational Sciences - 2020, Vol. 34 n. 4 pp. 583-604Abstract
The paper shows the connections between some importance indices for the components in an engineering coherent system and the performance of the system obtained when a redundancy mechanism is applied to a specific component. A copula approach is used to model the dependency among the components. This approach includes the popular case of independent components. Under some assumptions, it is proved that if component i is more important than component j, then the system obtained by applying a redundancy procedure to the ith component is better, under different stochastic criteria, than that obtained with the jth component. These results can be applied to several redundancy mechanisms. A new importance index is defined to study active redundancies. Some illustrative examples are provided.
Subjects
coherent systems; copula; distorted distributions; importance measures; redundancyCollections
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