Efficient Sensitivity Methods for Probabilistic Lifing and Engine Prognostics
Final rept. 2 Aug 2007-30 Aug 2010
TEXAS UNIV AT SAN ANTONIO
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Probabilistic engine health management PHM is expected to be a go-forward approach for the USAF and other DoD agencies to enable dramatic improvements in the assessment and management of military assets. As a result, accurate and information-rich probabilistic lifing methods are essential to assess the benefits of technology insertion programs for PHM. As such, under this program three technology thrusts were investigated a sensitivity methods probability-of-failure estimates with respect to POD curve parameters, b complex variable methods for sensitivity analysis, and c probabilistic sensitivity analysis with respect to bounds of truncated distributions.
- Statistics and Probability