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Title: Principles and applications of measurement and uncertainty analysis in research and calibration

Abstract

Interest in Measurement Uncertainty Analysis has grown in the past several years as it has spread to new fields of application, and research and development of uncertainty methodologies have continued. This paper discusses the subject from the perspectives of both research and calibration environments. It presents a history of the development and an overview of the principles of uncertainty analysis embodied in the United States National Standard, ANSI/ASME PTC 19.1-1985, Measurement Uncertainty. Examples are presented in which uncertainty analysis was utilized or is needed to gain further knowledge of a particular measurement process and to characterize final results. Measurement uncertainty analysis provides a quantitative estimate of the interval about a measured value or an experiment result within which the true value of that quantity is expected to lie. Years ago, Harry Ku of the United States National Bureau of Standards stated that ``The informational content of the statement of uncertainty determines, to a large extent, the worth of the calibrated value.`` Today, that statement is just as true about calibration or research results as it was in 1968. Why is that true? What kind of information should we include in a statement of uncertainty accompanying a calibrated value? How andmore » where do we get the information to include in an uncertainty statement? How should we interpret and use measurement uncertainty information? This discussion will provide answers to these and other questions about uncertainty in research and in calibration. The methodology to be described has been developed by national and international groups over the past nearly thirty years, and individuals were publishing information even earlier. Yet the work is largely unknown in many science and engineering arenas. I will illustrate various aspects of uncertainty analysis with some examples drawn from the radiometry measurement and calibration discipline from research activities.« less

Authors:
Publication Date:
Research Org.:
National Renewable Energy Lab., Golden, CO (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10107272
Report Number(s):
NREL/TP-411-5165; CONF-9209271-1
ON: DE93000034
DOE Contract Number:  
AC02-83CH10093
Resource Type:
Conference
Resource Relation:
Conference: 3. annual infrared radiometric sensor calibration symposium,Logan, UT (United States),14-17 Sep 1992; Other Information: PBD: Nov 1992
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; CALIBRATION; DATA COVARIANCES; STATISTICAL MODELS; RANDOMNESS; STANDARDS; HISTORICAL ASPECTS; ERRORS; 990200; MATHEMATICS AND COMPUTERS

Citation Formats

Wells, C V. Principles and applications of measurement and uncertainty analysis in research and calibration. United States: N. p., 1992. Web.
Wells, C V. Principles and applications of measurement and uncertainty analysis in research and calibration. United States.
Wells, C V. Sun . "Principles and applications of measurement and uncertainty analysis in research and calibration". United States. https://www.osti.gov/servlets/purl/10107272.
@article{osti_10107272,
title = {Principles and applications of measurement and uncertainty analysis in research and calibration},
author = {Wells, C V},
abstractNote = {Interest in Measurement Uncertainty Analysis has grown in the past several years as it has spread to new fields of application, and research and development of uncertainty methodologies have continued. This paper discusses the subject from the perspectives of both research and calibration environments. It presents a history of the development and an overview of the principles of uncertainty analysis embodied in the United States National Standard, ANSI/ASME PTC 19.1-1985, Measurement Uncertainty. Examples are presented in which uncertainty analysis was utilized or is needed to gain further knowledge of a particular measurement process and to characterize final results. Measurement uncertainty analysis provides a quantitative estimate of the interval about a measured value or an experiment result within which the true value of that quantity is expected to lie. Years ago, Harry Ku of the United States National Bureau of Standards stated that ``The informational content of the statement of uncertainty determines, to a large extent, the worth of the calibrated value.`` Today, that statement is just as true about calibration or research results as it was in 1968. Why is that true? What kind of information should we include in a statement of uncertainty accompanying a calibrated value? How and where do we get the information to include in an uncertainty statement? How should we interpret and use measurement uncertainty information? This discussion will provide answers to these and other questions about uncertainty in research and in calibration. The methodology to be described has been developed by national and international groups over the past nearly thirty years, and individuals were publishing information even earlier. Yet the work is largely unknown in many science and engineering arenas. I will illustrate various aspects of uncertainty analysis with some examples drawn from the radiometry measurement and calibration discipline from research activities.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1992},
month = {11}
}

Conference:
Other availability
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