Title :
AMSAA maturity projection model
Author :
Ellner, Paul M. ; Wald, Lindalee C.
Author_Institution :
USAMSAA, Aberdeen Proving Ground, MD, USA
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;
Conference_Titel :
Reliability and Maintainability Symposium, 1995. Proceedings., Annual
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-2470-6
DOI :
10.1109/RAMS.1995.513243