Communications in Statistics Part B: Simulation and Computation, ( ISI ), Year (2022-12)

Title : ( Influence of the three different types of standby components on the performance of a k–out–of–n:F system in the dynamic stress–strength model )

Authors: sara ghanbari , Abdolhamid Rezaei Roknabadi , Mahdi Salehi ,

Citation: BibTeX | EndNote

Abstract

ABSTRACT We consider the effect of adding three different types of standby components to a k–out–of–n:F system based on the dynamic stress–strength model. For this purpose, the system reliability in the three different types of standby components, i.e., cold, warm and hot standby components, are calculated. Also, it is assumed that the stress and the strength components follow the Weibull distribution and the Weibull process, respectively. The maximum likelihood estimators of the redundancy system reliability are obtained. In addition, a simulation study is performed based on the Monte Carlo method. Finally, the results are illustrated via a practical example that is the time of successive failures of the air conditioning system of every member of a fleet of jet airplanes.

Keywords

KEYWORDS Cold standby; Hot standby; k–out–of–n:F system; Reliability; Stress–strength model; Warm standby; Weibull process
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@article{paperid:1092644,
author = {Ghanbari, Sara and Rezaei Roknabadi, Abdolhamid and Mahdi Salehi},
title = {Influence of the three different types of standby components on the performance of a k–out–of–n:F system in the dynamic stress–strength model},
journal = {Communications in Statistics Part B: Simulation and Computation},
year = {2022},
month = {December},
issn = {0361-0918},
keywords = {KEYWORDS Cold standby; Hot standby; k–out–of–n:F system; Reliability; Stress–strength model; Warm standby; Weibull process},
}

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%0 Journal Article
%T Influence of the three different types of standby components on the performance of a k–out–of–n:F system in the dynamic stress–strength model
%A Ghanbari, Sara
%A Rezaei Roknabadi, Abdolhamid
%A Mahdi Salehi
%J Communications in Statistics Part B: Simulation and Computation
%@ 0361-0918
%D 2022

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