Constant stress accelerated life test on a multiple-component series system under weibull lifetime distributions

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105758

Title:	Constant stress accelerated life test on a multiple-component series system under weibull lifetime distributions
Authors:	樊采虹;Fan, Tsai-hung;Hsu, Tsung-ming
Contributors:	理學院統計研究所
Keywords:	Accelerated life tests;Bayesian analysis;Computer simulation;masked data;Mathematical models;Mean time to failure;Reliability engineering;Series system;Statistics;Stress concentration;Stresses;Weibull distributions
Date:	2014-05-15
Issue Date:	2026-04-23 12:52:27 (UTC+8)
Publisher:	Taylor and Francis Ltd.;Philadelphia: Taylor & Francis
Abstract:	摘要： We will discuss the reliability analysis of the constant stress accelerated life test on a series system connected with multiple components under independent Weibull lifetime distributions whose scale parameters are log-linear in the level of the stress variable. The system lifetimes are collected under Type I censoring but the components that cause the systems to fail may or may not be observed. The data are so called masked for the latter case. Maximum likelihood approach and the Bayesian method are considered when the data are masked. Statistical inference on the estimation of the underlying model parameters as well as the mean time to failure and the reliability function will be addressed. Simulation study for a three-component case shows that Bayesian analysis outperforms the maximum likelihood approach especially when the data are highly masked. 出版者： Philadelphia: Taylor & Francis 出版日期： 2014-05-15 出處： Communications in statistics. Theory and methods, 2014-05, Vol.43 (10-12), p.2370-2383 資源來源： Taylor & Francis Journals Auto-Holdings Collection 版權： Copyright © Taylor & Francis Group, LLC 2014 版權： Copyright © Taylor & Francis Group, LLC 識別號： ISSN: 0361-0926 識別號： EISSN: 1532-415X 識別號： DOI: 10.1080/03610926.2013.809115
Appears in Collections:	[Graduate Institute of Statistics] journal & Dissertation

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