A new perspective to stress-strength models

被引:35
|
作者
Eryilmaz, Serkan [1 ]
机构
[1] Izmir Univ Econ, Dept Math, Izmir, Turkey
关键词
Minimum variance unbiased estimator; Multi-state system; Stress-strength reliability; RELIABILITY; SYSTEMS;
D O I
10.1007/s10463-008-0211-3
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The stress-strength models have been widely used for reliability design of systems. In these models the reliability is defined as the probability that the strength is larger than the stress. The analysis is then based on the binary reliability theory since there are two possible states for the system. In this paper, we study the stress-strength reliability in a different framework assigning more than two states to the system depending on the difference between strength and stress values. In other words, the stress-strength reliability is studied under multi-state system modeling. System state probabilities are evaluated and estimated under various assumptions on the system. The multicomponent form is also studied and some results are provided for large systems.
引用
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页码:101 / 115
页数:15
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