Bayesian network modeling of system performance

M. T. Bensi, A. Der Kiureghian, D. Straub

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

Bayesian Networks (BNs) provide an excellent framework for modeling system performance, particularly in near-real time applications when it is necessary to update models in light of observations. However, BNs can be very demanding of computer memory and inference can become intractable if care is not taken to optimize their topology. In this paper, efficient BN formulations for modeling system performance are presented. First, formulations are developed for series and parallel systems. Then, results are extended to general systems for which the minimal link and/or cut sets are known. Finally, an optimization algorithm is developed to automate the generation of efficient BN formulations for modeling system performance.

OriginalspracheEnglisch
TitelReliability and Optimization of Structural Systems - Proceedings of Reliability and Optimization of Structural Systems
Herausgeber (Verlag)Association for Computing Machinery
Seiten1-8
Seitenumfang8
ISBN (Print)9780415881791
DOIs
PublikationsstatusVeröffentlicht - 2010
Veranstaltung15th International Federation of Information Processing (IFIP) Working Group 7.5 on Reliability and Optimization of Structural Systems - Munich, Deutschland
Dauer: 7 Apr. 201010 Apr. 2010

Publikationsreihe

NameReliability and Optimization of Structural Systems - Proceedings of Reliability and Optimization of Structural Systems

Konferenz

Konferenz15th International Federation of Information Processing (IFIP) Working Group 7.5 on Reliability and Optimization of Structural Systems
Land/GebietDeutschland
OrtMunich
Zeitraum7/04/1010/04/10

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