Birnbaum’s measure of component importance for noncoherent systems
journal contributionposted on 2008-10-24, 11:24 authored by J.D. Andrews, Sally C. Beeson
Importance analysis of noncoherent systems is limited, and is generally inaccurate because all measures of importance that have been developed are strictly for coherent analysis. This paper considers the probabilistic measure of component importance developed by Birnbaum (1969). An extension of this measure is proposed which enables noncoherent importance analysis. As a result of the proposed extension the average number of system failures in a given interval for noncoherent systems can be calculated more efficiently. Furthermore, because Birnbaum’s measure of component importance is central to many other measures of importance; its extension should make the derivation of other measures possible.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
CitationANDREWS, J.D. and BEESON, S., 2003. Birnbaum’s measure of component importance for noncoherent systems. IEEE Transactions on Reliability, 52(3), pp 301-310
NotesThis is a journal article. It was published in the journal, IEEE Transactions on Reliability [© IEEE] and the definitive version is also available at: http://ieeexplore.ieee.org. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.