Sign inSubmit
ArticleArticle metrics
Research Article · Open access · Published 3 February 2018

Reliability Equivalence Factors of a Parallel System Subject to Weibull Distribution Using Multivariate FGM Copula

Neama Salah Youssef Temraz1

American Journal of Applied Sciences, Volume 15, Issue 1, pp. 70–83 · doi.org/10.3844/ajassp.2018.70.83

7,940 accesses4,423 downloads0 citations (Crossref)Journal metrics
Cite Check for updates

Abstract

This paper analyze a parallel system consisted of n dependent components with lifetimes follow Weibull distribution. FGM Copula in multivariate case is used to generate the reliability function of the original system. Reduction method is introduced to improve system reliability. Other methods of hot, cold and warm duplication are established to improve system reliability. An application using real time data is introduced to show the results and compare between different improvement methods.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Temraz, N. S. Y. (2018). Reliability Equivalence Factors of a Parallel System Subject to Weibull Distribution Using Multivariate FGM Copula. American Journal of Applied Sciences, 15(1), 70–83. https://doi.org/10.3844/ajassp.2018.70.83

Licence
CC BY 3.0
Issue
Volume 15, Issue 1
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Reliability Equivalence Factors of a Parallel System Subject to Weibull Distribution Using Multivariate FGM CopulaAmerican Journal of Applied Sciences · Volume 15, Issue 1 · pp. 70–83 · CC BY 3.0Download