A bayesian approach for estimating complex system reliability

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Although a number of recent studies on using BN for system reliability estimation have been proposed, these studies are based on the assumption that a pre-built BN was designed to represent the system. In these studies, the task of building the BN is typically left to a group of specialists who are BN and domain experts. However the process of building a system-specific BN is generally very time consuming and may lead to incorrect deductions. As there are no existing studies to eliminate the need for a human expert in the process of system reliability estimation, this paper introduces a holistic method that uses historical data about the system to be modeled as a BN and provides efficient techniques for automated construction of the BN model and estimation of the system reliability. Moreover, very limited human intervention is sufficient for the process of BN construction and reliability estimation.

Original languageEnglish
Title of host publication19th Annual International Symposium of the International Council on Systems Engineering (INCOSE 2009) in conjunction with the 3rd Asia-Pacific Conference on Systems Engineering APCOSE 2009
Pages436-446
Number of pages11
StatePublished - 2009
Event19th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2009 - , Singapore
Duration: 20 Jul 200923 Jul 2009

Publication series

Name19th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2009
Volume1

Conference

Conference19th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2009
Country/TerritorySingapore
Period20/07/0923/07/09

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