Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/16382
Title: Planning and inference of sequential accelerated life tests
Authors: LIU XIAO
Keywords: Accelerated Life Test, Sequential Experiment, Bayesian Inference, Bayesian Design, Reliability, Optimization.
Issue Date: 20-Aug-2009
Source: LIU XIAO (2009-08-20). Planning and inference of sequential accelerated life tests. ScholarBank@NUS Repository.
Abstract: Accelerated Life Test (ALT) has been widely used in product design and development to obtain timely information on product/component/material reliability. This thesis focuses on sequential ALT (SALT) and consists of two parts. The first part deals with methods for making statistical inferences of SALT data and the second part deals with design of SALT test plans. In particular, in the former, Bayesian inference methods that incorporate empirical engineering knowledge are presented. In the latter, various planning approaches of SALT are proposed based on both likelihood theory and Bayesian design of experiment. In addition, the planning of an ALT for repairable systems with competing risks is also considered. Throughout the thesis, adequate numerical examples, case studies, and simulations are provided to illustrate the application of the proposed methods.
URI: http://scholarbank.nus.edu.sg/handle/10635/16382
Appears in Collections:Ph.D Theses (Open)

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