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Measurement control: Principles and practice as applied to nondestructive assay

Thomas E. Sampson

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Abstract

This paper discusses the principles and practice of measurement control for nondestructive assay (NDA) instruments. The NDA is not always blessed with the highly controlled samples that are assumed in the analytical laboratory. This adversely affects the use and applicability of the historical error information from instrument stability checks to estimate measurement uncertainties for the broad range of sample characteristics presented to most NDA instruments. This paper emphasizes the methods used to perform instrument stability checks and discusses the resulting uncertainty information that can be derived from these measurements. 4 refs., 2 figs., 2 tabs.

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This paper discusses the principles and practice of measurement control for nondestructive assay (NDA) instruments. The NDA is not always blessed with the highly controlled samples that are assumed in the analytical laboratory. This adversely affects the use and applicability of the historical error information from instrument stability checks to estimate measurement uncertainties for the broad range of sample characteristics presented to most NDA instruments. This paper emphasizes the methods used to perform instrument stability checks and discusses the resulting uncertainty information that can be derived from these measurements. 4 refs., 2 figs., 2 tabs.

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Available abstract

This paper discusses the principles and practice of measurement control for nondestructive assay (NDA) instruments. The NDA is not always blessed with the highly controlled samples that are assumed in the analytical laboratory. This adversely affects the use and applicability of the historical error information from instrument stability checks to estimate measurement uncertainties for the broad range of sample characteristics presented to most NDA instruments. This paper emphasizes the methods used to perform instrument stability checks and discusses the resulting uncertainty information that can be derived from these measurements. 4 refs., 2 figs., 2 tabs.

Key concepts: Measurement uncertainty, Stability (learning theory), Measuring instrument, Observational error, Range (aeronautics), Instrument control, Control (management), Computer science

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