Test Data Measurement Uncertainty Analysis
Test Data Measurement Uncertainty Analysis
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The Structural Validation Branch (AFRL/RQVV) provides test services for internal and external customers covering a wide range of research and development programs. Calculating and documenting test data uncertainty is a necessary capability for a test organization. Test data uncertainty analysis provides error limit values based on the combined effects of random and systematic error sources. Error source examination can also be used to determine if corrective actions are necessary and/or possible to eliminate or reduce the measurement errors. This project was initiated to review uncertainty calculation methods and develop the internal processes and procedures that will be used to calculate, document, and report measurement uncertainty values.
Document information
Test Data Measurement Uncertainty Analysis
Conf.Proceedings of Society
Sensors and Instrumentation, Aircraft/Aerospace and Dynamic Environments Testing, Volume 7 ; Chapter : 1 ; 1-4
2022-07-31
4 pages
Article/Chapter (Book)
Electronic Resource
English