A New Perspective To Stress-Strength Models

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Date

2011

Authors

Eryılmaz, Serkan

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Heidelberg

Open Access Color

Green Open Access

No

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Abstract

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.

Description

Keywords

Minimum variance unbiased estimator, Multi-state system, Stress-strength reliability, Reliability, Systems, Reliability and life testing, Asymptotic distribution theory in statistics, multi-state system, minimum variance unbiased estimator, Estimation in survival analysis and censored data, stress-strength reliability

Fields of Science

0101 mathematics, 01 natural sciences

Citation

WoS Q

Q4

Scopus Q

Q3
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OpenCitations Citation Count
36

Source

Annals of the Instıtute of Statıstıcal Mathematıcs

Volume

63

Issue

1

Start Page

101

End Page

115
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Scopus : 40

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