A variance-based importance index for systems with dependent components

Fuente: arXiv
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Main Authors: Arriaza, Antonio, Navarro, Jorge, Sordo, Miguel Angel, Suárez-Llorens, Alfonso
Format: Preprint
Published: 2024
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author Arriaza, Antonio
Navarro, Jorge
Sordo, Miguel Angel
Suárez-Llorens, Alfonso
author_facet Arriaza, Antonio
Navarro, Jorge
Sordo, Miguel Angel
Suárez-Llorens, Alfonso
contents This paper proposes a variance-based measure of importance for coherent systems with dependent and heterogeneous components. The particular cases of independent components and homogeneous components are also considered. We model the dependence structure among the components by the concept of copula. The proposed measure allows us to provide the best estimation of the system lifetime, in terms of the mean squared error, under the assumption that the lifetime of one of its components is known. We include theoretical results that are useful to calculate a closed-form of our measure and to compare two components of a system. We also provide some procedures to approximate the importance measure by Monte Carlo simulation methods. Finally, we illustrate the main results with several examples.
format Preprint
id arxiv_https___arxiv_org_abs_2409_18669
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A variance-based importance index for systems with dependent components
Arriaza, Antonio
Navarro, Jorge
Sordo, Miguel Angel
Suárez-Llorens, Alfonso
Applications
This paper proposes a variance-based measure of importance for coherent systems with dependent and heterogeneous components. The particular cases of independent components and homogeneous components are also considered. We model the dependence structure among the components by the concept of copula. The proposed measure allows us to provide the best estimation of the system lifetime, in terms of the mean squared error, under the assumption that the lifetime of one of its components is known. We include theoretical results that are useful to calculate a closed-form of our measure and to compare two components of a system. We also provide some procedures to approximate the importance measure by Monte Carlo simulation methods. Finally, we illustrate the main results with several examples.
title A variance-based importance index for systems with dependent components
topic Applications
url https://arxiv.org/abs/2409.18669