Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/150303
Title: DESIGN AND ANALYSIS OF DEGRADATION TESTS FOR RELIABILITY AND SUSTAINABILITY APPLICATIONS
Authors: HONG LANQING
ORCID iD:   orcid.org/000-0000-3275-2594
Keywords: Accelerated degradation tests, Interval estimation, Multi-dimensional degradation models, Stochastic process models
Issue Date: 1-Aug-2018
Citation: HONG LANQING (2018-08-01). DESIGN AND ANALYSIS OF DEGRADATION TESTS FOR RELIABILITY AND SUSTAINABILITY APPLICATIONS. ScholarBank@NUS Repository.
Abstract: In this dissertation, we focus on degradation modelling, test planning and data analysis in reliability and sustainability applications. First, we investigate the necessity of acceleration for degradation tests in reliability engineering, and quantify the situations where acceleration is inefficient from a statistical point of view. For applications where acceleration is efficient, we adopt the fixed-effects and mixed-effects Wiener processes to fit the accelerated degradation test data, and develop interval estimation procedures for desired quantities using the method of generalized pivotal quantity. We further extend the use of stochastic degradation models to sustainability applications, and propose semi-parametric degradation models with shape constraints on the covariate effects to analyze the degradation data of an emerging contaminant (EC) in water treatment. In addition, we develop multi-dimensional degradation model for multiple ECs in a mixed solution, and propose interval estimation procedures. Simulations and illustrative examples are provided to demonstrate the proposed methods.
URI: http://scholarbank.nus.edu.sg/handle/10635/150303
Appears in Collections:Ph.D Theses (Open)

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