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Reliability Estimation of Burr Type III Distribution under Improved Adaptive Progressive Censoring with Application to Surface Coating
 
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1
Department of Mechanical Engineering, Payame Noor University (PNU), Tehran, Iran.
 
2
Department of Mathematics and Statistics, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
 
3
Department of Mathematics, College of Arts & Sciences, Wadi Ad Dawasir (11991), Prince Sattam Bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia.
 
4
Department of Basic Sciences, College of science and theoretical studies, Saudi electronic university, Riyadh11673, Kingdom of Saudi Arabia.
 
 
Online publication date: 2023-04-04
 
 
Publication date: 2023-04-04
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):163054
 
HIGHLIGHTS
  • The SSRe is proposed to determine the probability of the coating process working properly.
  • Based on the Burr III distribution, the IAPrgCS-II is applied as a novel censoring scheme.
  • The SSRe model parameters are attained using frequentist and Bayesian aspects.
  • The BEs perform relatively better than ML estimates in the reliability model environment.
  • The results show us that the SSRe can be used to amend the quality of coatings.
KEYWORDS
ABSTRACT
The stress-strength reliability (SSRe) model is widely investigated in reliability engineering to determine the probability of the strength component overcomes the stress imposed on it. In this paper, we studied the estimation of SSRe model based on the Burr III distribution under the improved adaptive progressive type-II censoring scheme (IAPrgCS-II). Estimation methods of the SSRe parameters are developed using frequentist and Bayesian approaches. The point and interval estimations using the maximum likelihood are considered to estimate the parameters. Two approximations are applied to compute the Bayes estimates. A simulation study is conducted for the comparison of the methods of estimation. Also, parallel to the development of reliability studies, it is necessary to study its application in different sciences such as engineering. Therefore, the droplet splashing (DrS) data under two wettabilities are proposed as an application of the considered SSRe model and methods. The results show us that the reliability model can be used to amend the quality of coatings.
 
CITATIONS (5):
1.
Inference of reliability model with burr type XII distribution under two sample balanced progressive censored samples
Showkat Ahmad Lone, Hanieh Panahi, Sadia Anwar, Sana Shahab
Physica Scripta
 
2.
Reliability analysis for two populations Nadarajah-Haghighi distribution under Joint progressive type-II censoring
Mustafa M. Hasaballah, Yusra A. Tashkandy, Oluwafemi Samson Balogun, M. E. Bakr
AIMS Mathematics
 
3.
E‐Bayesian Estimation Using Spacing Function for Inverse Lindley Adaptive Type‐I Progressively Censored Samples: Comparative Study with Applications
Mazen Nassar, Refah Alotaibi, Ahmed Elshahhat, Noé López Perrusquia
Applied Bionics and Biomechanics
 
4.
Bayesian inference for two populations of Lomax distribution under joint progressive Type‐II censoring schemes with engineering applications
Mustafa M. Hasaballah, Yusra A. Tashkandy, Oluwafemi Samson Balogun, Mahmoud E. Bakr
Quality and Reliability Engineering International
 
5.
Rainfall data modeling using improved adaptive type-II progressively censored Weibull-exponential samples
Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat
Scientific Reports
 
eISSN:2956-3860
ISSN:1507-2711
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