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IEEE Transactions on Reliability
Article . 1988 . 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
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On computing MTBF for a k-out-of-n:G repairable system

On computing MTBF for a k-out-of-n: G repairable system
Authors: Angus, John E.;

On computing MTBF for a k-out-of-n:G repairable system

Abstract

Summary: It is often necessary to calculate MTBF (mean time between failures) quickly in order to make timely design decisions. An important system for which such calculations must be made is a k-out-of-n: G parallel system with unlimited repair and exponential interfailure and repair times at the unit level. Although a general formula is known, it is not easily remembered nor derived. This paper presents a method for deriving a formula for MTBF in this situation that is easily reproduced quickly by remembering a few simple concepts.

Keywords

Applications of renewal theory (reliability, demand theory, etc.), unlimited repair, Reliability, availability, maintenance, inspection in operations research, mean time between failures, Markov process, exponential distribution

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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!
44
Top 10%
Top 1%
Average
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