TY - JOUR
T1 - Monte-Carlo simulation study for uncertainty evaluation in turbulent statistics obtained by constant-temperature anemometry
AU - Fujita, Kenji
AU - Suzuki, Hiroki
AU - Mochizuki, Shinsuke
N1 - Funding Information:
The present study was supported in part by the Japanese Ministry of Education, Culture, Sports, Science and Technology through Grants-in-Aid (Nos. 17K06160, 18H01369, and 18K03932).
Publisher Copyright:
© 2019 IOP Publishing Ltd. All rights reserved.
PY - 2019/10/14
Y1 - 2019/10/14
N2 - We evaluate the uncertainty of a recalibration scheme correcting for measurements of constant-temperature anemometry (CTA), where an observed velocity by CTA would be affected by variations in ambient temperature in an experiment. The present study elucidates the characteristics of the uncertainty quantitatively. A temporally evolving calibration curve is used to examine the uncertainty of the calibration curve. In the present study, we consider the temporally evolving curve to be a reference curve. The calibration curve predicted by the scheme is first examined. Here, the uncertainty of the gradient of the calibration curve is also considered. A Monte-Carlo simulation investigates the uncertainty in intensity and higherorder statistics of output-voltage fluctuation. Using the gradient of the calibration curve, this study derives a model for the statistics of the output voltage fluctuation, which is validated by the numerical simulation based on the Monte-Carlo simulation.
AB - We evaluate the uncertainty of a recalibration scheme correcting for measurements of constant-temperature anemometry (CTA), where an observed velocity by CTA would be affected by variations in ambient temperature in an experiment. The present study elucidates the characteristics of the uncertainty quantitatively. A temporally evolving calibration curve is used to examine the uncertainty of the calibration curve. In the present study, we consider the temporally evolving curve to be a reference curve. The calibration curve predicted by the scheme is first examined. Here, the uncertainty of the gradient of the calibration curve is also considered. A Monte-Carlo simulation investigates the uncertainty in intensity and higherorder statistics of output-voltage fluctuation. Using the gradient of the calibration curve, this study derives a model for the statistics of the output voltage fluctuation, which is validated by the numerical simulation based on the Monte-Carlo simulation.
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U2 - 10.1088/1742-6596/1324/1/012068
DO - 10.1088/1742-6596/1324/1/012068
M3 - Conference article
AN - SCOPUS:85074927393
SN - 1742-6588
VL - 1324
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012068
T2 - 2nd International Conference on Physics, Mathematics and Statistics, ICPMS 2019
Y2 - 22 May 2019 through 24 May 2019
ER -