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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
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IEEE Transactions on Reliability
Article . 1981 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1981
Data sources: zbMATH Open
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Computing Failure Frequency, MTBF & MTTR via Mixed Products of Availabilities and Unavailabilities

Computing failure frequency, MTBF and MTTR via mixed products of availabilities and unavailabilities
Authors: Schneeweiss, W. G.;

Computing Failure Frequency, MTBF & MTTR via Mixed Products of Availabilities and Unavailabilities

Abstract

In many practical situations system availability or unavailability is found or given as a polynomial with terms which are mixed products of availabilities and unavailabilities of the components. Starting with such a polynomial, considerable algebraic manipulation has been considered to be necessary before the failure frequency could be determined. Here it is shown that such manipulations are unnecessary. A very easy-to-remember rule immediately produces failure frequency, once system availability or unavailability is given as a polynomial of the type mentioned above.

Related Organizations
Keywords

failure frequency, multi- component system, Reliability, availability, maintenance, inspection in operations research, system availability, polynomial formula

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 1%
Average
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