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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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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. |
format | Online Article Text |
id | pubmed-8275412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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