DocumentCode
2289681
Title
AMSAA maturity projection model
Author
Ellner, Paul M. ; Wald, Lindalee C.
Author_Institution
USAMSAA, Aberdeen Proving Ground, MD, USA
fYear
1995
fDate
16-19 Jan 1995
Firstpage
174
Lastpage
181
Abstract
The AMSAA parametric empirical Bayes (PEB) projection model allows the utilization of data generated over a test period [0,T] that may include several system configurations to obtain projections of future system reliability. In this paper, the authors present a PEB reliability projection method. In general, the term “projection” refers to a reliability assessment that uses a combination of test data and engineering judgement. Engineering judgement, along with any pertinent system or lower level testing, is used to assess the effectiveness of fixes. Fix effectiveness factors are applied only to those fixes that have been implemented or that are scheduled for incorporation into the configuration whose reliability is being projected. Management frequently desires projecting the reliability of the next system configuration or at a future milestone. The projection methodology presented in this paper can be used to address these situations
Keywords
Bayes methods; engineering; failure analysis; reliability; reliability theory; AMSAA parametric empirical Bayes projection model; MTBF; engineering judgement; fix effectiveness factors; management; reliability estimation; reliability projection method; test data; Costs; Data engineering; Delay effects; Failure analysis; Maximum likelihood estimation; Project management; Reliability engineering; System testing; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1995. Proceedings., Annual
Conference_Location
Washington, DC
ISSN
0149-144X
Print_ISBN
0-7803-2470-6
Type
conf
DOI
10.1109/RAMS.1995.513243
Filename
513243
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