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Title: Birnbaum’s measure of component importance for noncoherent systems
Authors: Andrews, J.D.
Beeson, Sally C.
Keywords: Fault tree
Importance measures
Structure function
Issue Date: 2003
Publisher: © IEEE
Citation: ANDREWS, J.D. and BEESON, S., 2003. Birnbaum’s measure of component importance for noncoherent systems. IEEE Transactions on Reliability, 52(3), pp 301-310
Abstract: 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.
Description: This 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.
URI: https://dspace.lboro.ac.uk/2134/3807
ISSN: 0018-9529
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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