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Relationships between importance measures and redundancy in systems with dependent components

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URI: http://hdl.handle.net/10498/33394

DOI: 10.1017/S0269964819000159

ISSN: 1469-8951

ISSN: 0269-9648

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Author/s
Navarro, Jorge; Fernández-Martínez, Pedro; Fernández-Sánchez, Juan; Arriaza Gómez, Antonio JesúsAuthority UCA
Date
2020
Department
Estadística e Investigación Operativa
Source
Probability in the Engineering and Informational Sciences - 2020, Vol. 34 n. 4 pp. 583-604
Abstract
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; redundancy
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  • Artículos Científicos [11777]
  • Articulos Científicos Est. I.O. [354]
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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