This paper presents the ways that sample rate, sample time, and number of test replications can affect the random uncertainty in a measurement. Typical steady timewise experiments seek the average values of measured variables. Even in this case, sample rate and sample time can affect the signal standard deviations and yield different random uncertainty estimates. In addition, many random error sources vary slowly relative to the test time and take on a single value. Test replications can convert systematic uncertainties to random uncertainties by allowing their values to change from test to test. The goal is to record individual tests at a sample rate and time that capture the short timescale error sources, and to replicate tests on the scale of long timescale error sources. This paper presents how to leverage these effects to reduce the overall uncertainty of a measured result without increasing the cost of the experiment.
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December 2016
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Examining Sample Rate, Sample Time, and Test Replication for Reducing Uncertainty in Steady Timewise Experiments
Anthony M. Ferrar
Anthony M. Ferrar
B and E Applied Research and Science Lab,
Nuclear Engineering Program, University of Florida
, Gainesville, FL 32611
e-mail: ferrar@ufl.edu
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Anthony M. Ferrar
B and E Applied Research and Science Lab,
Nuclear Engineering Program, University of Florida
, Gainesville, FL 32611
e-mail: ferrar@ufl.eduManuscript received November 17, 2015; final manuscript received April 11, 2016; published online August 19, 2016. Assoc. Editor: Ioannis Kougioumtzoglou.
ASME J. Risk Uncertainty Part B. Dec 2016, 2(4): 044503 (4 pages)
Published Online: August 19, 2016
Article history
Received:
November 17, 2015
Revision Received:
April 11, 2016
Accepted:
April 11, 2016
Citation
Ferrar, A. M. (August 19, 2016). "Examining Sample Rate, Sample Time, and Test Replication for Reducing Uncertainty in Steady Timewise Experiments." ASME. ASME J. Risk Uncertainty Part B. December 2016; 2(4): 044503. https://doi.org/10.1115/1.4033406
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