Thesis / Dissertation

Risk Analysis and Probabilistic Decision Making for Censored Failure Data

Dona Nayomi Sandarekha Attanayake, Andrew Robinson (ed.)

Published : 2019

Abstract

Operation and maintenance of a fleet always require a high level of readiness, reduced cost, and improved safety. In order to achieve these goals, it is essential to develop and determine an appropriate maintenance programme for the components in use. A failure analysis involving failure model selection, robust parameter estimation, probabilistic decision making, and assessing the cost-effectiveness of the decisions are the key to the selection of a proper maintenance programme. Two significant challenges faced in failure analysis studies are, minimizing the uncertainty associated with model selection and making strategic decisions based on few observed failures. In this thesis, we try to re..

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University of Melbourne Researchers