Classical and Bayesian estimation of stress-strength reliability of a component having multiple states

被引:2
|
作者
Siju, K. C. [1 ]
Kumar, Mahesh [2 ]
Beer, Michael [3 ]
机构
[1] Vidya Acad Sci & Technol, Dept Appl Sci, Trichur, India
[2] Natl Inst Technol, Dept Math, Calicut, Kerala, India
[3] Leibniz Univ Hannover, Inst Risk & Reliabil, Hannover, Germany
关键词
Multi-state; Stress-strength reliability; Maximum likelihood estimation; Bayesian estimation; Gibbs sampling; MULTISTATE SYSTEM;
D O I
10.1108/IJQRM-01-2020-0009
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose This article presents the multi-state stress-strength reliability computation of a component having three states namely, working, deteriorating and failed state. Design/methodology/approach The probabilistic approach is used to obtain the reliability expression by considering the difference between the values of stress and strength of a component, say, for example, the stress (load) and strength of a power generating unit is in terms of megawatt. The range of values taken by the difference variable determines the various states of the component. The method of maximum likelihood and Bayesian estimation is used to obtain the estimators of the parameters and system reliability. Findings The maximum likelihood and Bayesian estimates of the reliability approach the actual reliability for increasing sample size. Originality/value Obtained a new expression for the multi-state stress-strength reliability of a component and the findings are positively supported by presenting the general trend of estimated values of reliability approaching the actual value of reliability.
引用
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页码:528 / 535
页数:8
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