Accession Number:

ADA533813

Title:

Efficient Sensitivity Methods for Probabilistic Lifing and Engine Prognostics

Descriptive Note:

Final rept. 2 Aug 2007-30 Aug 2010

Corporate Author:

TEXAS UNIV AT SAN ANTONIO

Report Date:

2010-09-01

Pagination or Media Count:

54.0

Abstract:

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.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE