Citation

Pan Z, Nonaka Y. Int. J. Reliab. Qual. Safety Eng. 1995; 2(2): 177-186.

Affiliation

Dept. of Industrial Management and Engineering, Science University of Tokyo, Japan

Copyright

(Copyright © 1995, World Scientific Publishing)

DOI

10.1142/S0218539395000149

PMID

unavailable

Abstract

In quantitative analysis of common cause failures (CCFs), importance measures for ranking the importance of the CCF events will be significant to limit the CCF analysis framework, find out efficient defence strategies against CCF, and make sensitivity analysis for them. In this paper, three importance measures are defined for different types of common cause failure events: Structure Importance, Probability Importance, and Beta-Importance. Simplified algorithms for calculating these importance measures are developed.