Citation

Noroozian A, Kazemzadeh RB, Niaki STA, Zio E. Int. J. Reliab. Qual. Safety Eng. 2018; 25(1): e1850004.

Copyright

(Copyright © 2018, World Scientific Publishing)

DOI

10.1142/S0218539318500043

PMID

unavailable

Abstract

Importance measures (IMs) are used for risk-informed decision making in system operations, safety, and maintenance. Traditionally, they are computed within fault tree (FT) analysis. Although FT analysis is a powerful tool to study the reliability and structural characteristics of systems, Bayesian networks (BNs) have shown explicit advantages in modeling and analytical capabilities. In this paper, the traditional definitions of IMs are extended to BNs in order to have more capability in terms of system risk modeling and analysis. Implementation results on a case study illustrate the capability of finding the most important components in a system.

Language: en