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

Author:

Alamri Osama Abdulaziz1,El-Raouf M. M. Abd2ORCID,Ismail Eman Ahmed3,Almaspoor Zahra4ORCID,Alsaedi Basim S. O.1ORCID,Khosa Saima Khan5,Yusuf M.6ORCID

Affiliation:

1. Department of Statistics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia

2. Basic and Applied Science Institute, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandia, Egypt

3. College of International Transport and Logistics, Arab Academy for Science, Technology and Maritime Transport, Smart Village Campus, Cairo, Egypt

4. Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran

5. Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan

6. Department of Mathematics, Faculty of science, Helwan University, Cairo, Egypt

Abstract

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.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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