Reliability Evaluation for a Multi-State System Under Stress-Strength Setup

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Date

2011

Journal Title

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Volume Title

Publisher

Taylor & Francis inc

Open Access Color

Green Open Access

No

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Top 10%
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Top 10%

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Abstract

The two most commonly used reliability models in engineering applications are binary k-out-of-n:G and consecutive k-out-of-n:G systems. Multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G systems have been proposed as an extension of these systems and they have been found to be more flexible tool for modeling engineering systems. In this article, multi-state systems, in particular, multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G, are considered in a stress-strength setup. The states of the system are classified considering the number of components whose strengths above (below) the multiple stresses available in an environment. The exact state probabilities are provided and the results are illustrated for various stress-strength distributions. Maximum likelihood estimators of state probabilities are also presented.

Description

Keywords

Exponential distribution, Maximum likelihood estimate, Multi-state k-out-of-n:G system, Order statistics, Pareto distribution, Stress-strength reliability, Maximum likelihood estimate, Exponential distribution, Multi-state k-out-of-n:G system, Stress-strength reliability, Pareto distribution, Order statistics

Fields of Science

0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Citation

WoS Q

Q3

Scopus Q

Q2
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OpenCitations Citation Count
31

Source

Communications in Statistics - Theory and Methods

Volume

40

Issue

3

Start Page

547

End Page

558

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CrossRef : 31

Scopus : 30

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Mendeley Readers : 4

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