Nonparametric predictive reliability of series of voting systems

被引：5

作者：

Aboalkhair, Ahmad M. ^{[1
]}

Coolen, Frank P. A. ^{[2
]}

MacPhee, Iain M. ^{[2
]}

机构：

[1] Mansoura Univ, Dept Appl Stat & Insurance, Mansoura 35516, Egypt

[2] Univ Durham, Dept Math Sci, Durham DH1 3LE, England

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2013年 / 226卷 / 01期

关键词：

k-out-of-m system; Lower and upper probabilities; Nonparametric predictive inference; Redundancy; System reliability; Voting system; INFERENCE;

D O I：

10.1016/j.ejor.2012.11.001

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Nonparametric Predictive Inference (NPI) for system reliability reflects the dependence of reliabilities of similar components due to limited knowledge from testing. NPI has recently been presented for reliability of a single voting system consisting of multiple types of components. The components are all assumed to play the same role within the system, but with regard to their reliability components of different types are assumed to be independent. The information from tests is available per type of component. This paper presents NPI for systems with subsystems in a series structure, where all subsystems are voting systems and components of the same type can be in different subsystems. As NPI uses only few modelling assumptions, system reliability is quantified by lower and upper probabilities, reflecting the limited information in the test data. The results are illustrated by examples, which also illustrate important aspects of redundancy and diversity for system reliability. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：77 / 84

页数：8

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