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Reliability Growth Management Metrics and Statistical Methods for Discrete-Use Systems

Summary: [This abstract is based on the authors' abstract.] This article presents a new way to assess reliability improvement in systems with a test duration measured in discrete trials, shots or demands. System configuration does not need to be constant; the methodology applies to cases where adjustments are made at any time after a failure mode is discovered. The new method involves a series of mathematical models that estimate initial and predicted reliability and reliability growth potential, address goodness-of-fit issues, quantify programmatic risk and assess reliability maturity. Of particular note is a new likelihood function. The article presents an example of a missile program developed under the new method.

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  • Topics: Reliability
  • Keywords: Discrete data, Failure mode analysis (FMA), Goodness of fit, Likelihood methods, Military, Modeling, Reliability
  • Author: Hall, J. Brian; Ellner, Paul M.; Mosleh, Ali
  • Journal: Technometrics