The Frechet Reliability for (2+2) Cascade Model

Publication Date: 02/02/2024

DOI: 10.52589/AJMSS-FQVGFOIY


Author(s): Ahmed Haroon Khaleel .

Volume/Issue: Volume 7 , Issue 1 (2024)



Abstract:

In this paper In this paper, a reliability function was found for one of the cascade models was found, the model consists of two basic components (B_1 and B_2 ) and two spare components (B_3 and B_4 ), and it is sufficient for the model to be in a working state with the presence of two active components and in case of failure of one of the two basic components, it is compensated with one of the two standby components to keep the model running. It was assumed that the strength-stress factors trace the Frechet, the parameters of the Frechet were estimated by three different estimation methods (Moments, Least Squares and Weighted Least Square,), after which the reliability of the model is estimated. Monte Carlo simulations were also conducted to compare the results and find out which estimation methods are the best to estimate the reliability of the model using two statistical criteria: MSE and MAPE, where it presented that least square estimation is the preferred for estimating the function of reliability.


Keywords:

Frechet Distribution, Cascade Model, Component, Least Squares Estimation, Simulation.


No. of Downloads: 0

View: 169




This article is published under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
CC BY-NC-ND 4.0