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
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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
ORCID
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

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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Citations
CrossRef : 18
Scopus : 40
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Mendeley Readers : 10
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