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Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution

In the field of life testing, it is very important to study the reliability of any component under testing. One of the most important subjects is the “stress-strength reliability” term which always refers to the quantity P (X > Y) in any statistical literature. It resamples a system with random s...

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Autores principales: Alamri, Osama Abdulaziz, El-Raouf, M. M. Abd, Ismail, Eman Ahmed, Almaspoor, Zahra, Alsaedi, Basim S. O., Khosa, Saima Khan, Yusuf, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275412/
https://www.ncbi.nlm.nih.gov/pubmed/34285693
http://dx.doi.org/10.1155/2021/7653581
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author Alamri, Osama Abdulaziz
El-Raouf, M. M. Abd
Ismail, Eman Ahmed
Almaspoor, Zahra
Alsaedi, Basim S. O.
Khosa, Saima Khan
Yusuf, M.
author_facet Alamri, Osama Abdulaziz
El-Raouf, M. M. Abd
Ismail, Eman Ahmed
Almaspoor, Zahra
Alsaedi, Basim S. O.
Khosa, Saima Khan
Yusuf, M.
author_sort Alamri, Osama Abdulaziz
collection PubMed
description In the field of life testing, it is very important to study the reliability of any component under testing. One of the most important subjects is the “stress-strength reliability” term which always refers to the quantity P (X > Y) in any statistical literature. It resamples a system with random strength (X) that is subjected to a random strength (Y) such that a system fails in case the stress exceeds the strength. In this study, we consider stress-strength reliability where the strength (X) follows Rayleigh-half-normal distribution and stress (Y(1), Y(2), Y(3), and Y(4)) follows Rayleigh-half-normal distribution, exponential distribution, Rayleigh distribution, and half-normal distribution, respectively. This effort comprises determining the general formulations of the reliabilities of a system. Also, the maximum likelihood estimation approach and method of moment (MOM) will be utilized to estimate the parameters. Finally, reliability has been attained utilizing various values of stress and strength parameters.
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spelling pubmed-82754122021-07-19 Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution Alamri, Osama Abdulaziz El-Raouf, M. M. Abd Ismail, Eman Ahmed Almaspoor, Zahra Alsaedi, Basim S. O. Khosa, Saima Khan Yusuf, M. Comput Intell Neurosci Research Article In the field of life testing, it is very important to study the reliability of any component under testing. One of the most important subjects is the “stress-strength reliability” term which always refers to the quantity P (X > Y) in any statistical literature. It resamples a system with random strength (X) that is subjected to a random strength (Y) such that a system fails in case the stress exceeds the strength. In this study, we consider stress-strength reliability where the strength (X) follows Rayleigh-half-normal distribution and stress (Y(1), Y(2), Y(3), and Y(4)) follows Rayleigh-half-normal distribution, exponential distribution, Rayleigh distribution, and half-normal distribution, respectively. This effort comprises determining the general formulations of the reliabilities of a system. Also, the maximum likelihood estimation approach and method of moment (MOM) will be utilized to estimate the parameters. Finally, reliability has been attained utilizing various values of stress and strength parameters. Hindawi 2021-07-05 /pmc/articles/PMC8275412/ /pubmed/34285693 http://dx.doi.org/10.1155/2021/7653581 Text en Copyright © 2021 Osama Abdulaziz Alamri et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Alamri, Osama Abdulaziz
El-Raouf, M. M. Abd
Ismail, Eman Ahmed
Almaspoor, Zahra
Alsaedi, Basim S. O.
Khosa, Saima Khan
Yusuf, M.
Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution
title Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution
title_full Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution
title_fullStr Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution
title_full_unstemmed Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution
title_short Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution
title_sort estimate stress-strength reliability model using rayleigh and half-normal distribution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275412/
https://www.ncbi.nlm.nih.gov/pubmed/34285693
http://dx.doi.org/10.1155/2021/7653581
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