Estimation Study of Multicomponent Stress-Strength Reliability Using Advanced Sampling Approach

Amal Hassan; Rasha Elshaarawy; Heba Nagy

Makale detayları

Estimation Study of Multicomponent Stress-Strength Reliability Using Advanced Sampling Approach

Yazarlar:

Amal Hassan | Rasha Elshaarawy | Heba Nagy

Yayıncı:

Gazi University

Ana Başlıklar:

Engineering

Dergi:

Gazi University Journal of Science Vol.37 Issue 1, pp.465-481

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001300191

pISSN:

2147-1762

Anahtar kelimeler:

Özet:

 In this study, we analyze a multicomponent system with v independent and identical strength components X1,, Xv and each of these components is exposed to a common random stress Y. The system is considered to be operating only if at least u out of v 1 u  v strength variables exceed the random stress. The estimate of the system reliability is investigated, assuming the strength and stress random variables follow the exponentiated exponential distribution having different shape parameters. The maximum likelihood estimator for the system reliability is derived from ranked set sampling RSS, neoteric RSS NRSS, and median RSS MRSS. Some accuracy measurements, such as mean squared errors and efficiencies, are used to examine the behaviour of various estimates. Simulation studies demonstrate that the NRSS schemes reliability estimates are chosen above those of the others under the RSS and MRSS schemes in the majority of situations. Theoretical research is explained through real data analysis.

 In this study, we analyze a multicomponent system with v independent and identical strength components X1,, Xv and each of these components is exposed to a common random stress Y. The system is considered to be operating only if at least u out of v 1 u  v strength variables exceed the random stress. The estimate of the system reliability is investigated, assuming the strength and stress random variables follow the exponentiated exponential distribution having different shape parameters. The maximum likelihood estimator for the system reliability is derived from ranked set sampling RSS, neoteric RSS NRSS, and median RSS MRSS. Some accuracy measurements, such as mean squared errors and efficiencies, are used to examine the behaviour of various estimates. Simulation studies demonstrate that the NRSS schemes reliability estimates are chosen above those of the others under the RSS and MRSS schemes in the majority of situations. Theoretical research is explained through real data analysis.

 In this study, we analyze a multicomponent system with v independent and identical strength components X1,, Xv and each of these components is exposed to a common random stress Y. The system is considered to be operating only if at least u out of v 1 u  v strength variables exceed the random stress. The estimate of the system reliability is investigated, assuming the strength and stress random variables follow the exponentiated exponential distribution having different shape parameters. The maximum likelihood estimator for the system reliability is derived from ranked set sampling RSS, neoteric RSS NRSS, and median RSS MRSS. Some accuracy measurements, such as mean squared errors and efficiencies, are used to examine the behaviour of various estimates. Simulation studies demonstrate that the NRSS schemes reliability estimates are chosen above those of the others under the RSS and MRSS schemes in the majority of situations. Theoretical research is explained through real data analysis.

 In this study, we analyze a multicomponent system with v independent and identical strength components X1,, Xv and each of these components is exposed to a common random stress Y. The system is considered to be operating only if at least u out of v 1 u  v strength variables exceed the random stress. The estimate of the system reliability is investigated, assuming the strength and stress random variables follow the exponentiated exponential distribution having different shape parameters. The maximum likelihood estimator for the system reliability is derived from ranked set sampling RSS, neoteric RSS NRSS, and median RSS MRSS. Some accuracy measurements, such as mean squared errors and efficiencies, are used to examine the behaviour of various estimates. Simulation studies demonstrate that the NRSS schemes reliability estimates are chosen above those of the others under the RSS and MRSS schemes in the majority of situations. Theoretical research is explained through real data analysis.

Makale detayları

Estimation Study of Multicomponent Stress-Strength Reliability Using Advanced Sampling Approach

Yazarlar:

Amal Hassan | Rasha Elshaarawy | Heba Nagy

Yayıncı:

Gazi University

Ana Başlıklar:

Engineering

Dergi:

Gazi University Journal of Science Vol.37 Issue 1, pp.465-481

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001300191

pISSN:

2147-1762

Neoteric ranked set sampling

Median ranked set sampling

Multicomponent model

Maximum likelihood method

Sayı

Makale detayları

Estimation Study of Multicomponent Stress-Strength Reliability Using Advanced Sampling Approach

Yazarlar: Amal Hassan | Rasha Elshaarawy | Heba Nagy

Yayıncı: Gazi University

Ana Başlıklar: Engineering

Dergi: Gazi University Journal of Science Vol.37 Issue 1, pp.465-481

Belge Tipi: Makale

Yayın Tarihi: 1/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001300191

pISSN: 2147-1762

Neoteric ranked set sampling

Median ranked set sampling

Multicomponent model

Maximum likelihood method

Sayı

Yazarlar:

Amal Hassan | Rasha Elshaarawy | Heba Nagy

Yayıncı:

Gazi University

Ana Başlıklar:

Engineering

Dergi:

Gazi University Journal of Science Vol.37 Issue 1, pp.465-481

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001300191

pISSN:

2147-1762