Hybrid methodology and software platform for probabilistic risk assessment

Author

Groth, Katrina ; Zhu, Dongfeng ; Mosleh, Ali

Author_Institution

Center for Risk & Reliability, Univ. of Maryland, College Park, MD

fYear

2008

fDate

28-31 Jan. 2008

Firstpage

411

Lastpage

416

Abstract

This paper introduces the software implementation of a hybrid methodology for probabilistic risk assessment (PRA) of complex systems. The software, called IRIS (Integrated Risk Information System) combines a user-friendly graphical interface with a powerful computational engine. The framework includes a multi-layered modeling approach, combining Event Sequence Diagrams, Fault Trees, and Bayesian Belief Networks in a hybrid causal logic (HCL) model. This allows the most appropriate modeling techniques to be applied in the different domains of the system. At its core IRIS brings related perspectives of system safety, hazard analysis, and risk analysis into a unifying framework.

Keywords

belief networks; fault trees; information systems; risk management; software management; Bayesian belief networks; fault trees; hazard analysis; hybrid causal logic; hybrid methodology; integrated risk information system; integrated risk management system; probabilistic risk assessment; software platform; system safety; Bayesian methods; Computer interfaces; Engines; Fault trees; Information systems; Iris; Power system modeling; Risk analysis; Risk management; Software systems; PRA software; hazard identification; hybrid logic models; modeling; risk analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium, 2008. RAMS 2008. Annual

Conference_Location

Las Vegas, NV

ISSN

0149-144X

Print_ISBN

978-1-4244-1460-4

Electronic_ISBN

0149-144X

Type

conf

DOI

10.1109/RAMS.2008.4925831

Filename

4925831