| Citation: | YAO Zhenjian, WANG Zhongyu, WANG Chenchen, et al. Uncertainty evaluation for dynamic characteristic parameters of pressure sensors[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(8): 1672-1681. doi: 10.13700/j.bh.1001-5965.2017.0636(in Chinese)
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The uncertainty of dynamic characteristic parameters of pressure sensors is an important index to characterize its dynamic measurement performance. A method is proposed to evaluate the uncertainty of the sensor's dynamic characteristic parameters. Firstly, a shock tube dynamic calibration system is used to generate step pressure to excite the pressure sensor, and output signal of pressure sensor is obtained. Secondly, a preprocessing method based on empirical mode decomposition (EMD) is applied to reduce the influence of noise on output signals. Thirdly, an adaptive least squares method is performed to establish the mathematical model for pressure sensor based on its input and output signals, and the dynamic characteristic parameters in both time and frequency domains can be derived from the model. Finally, in consideration of the small sample feature of the parameter sequences in the repeated calibration experiments, the bootstrap method is applied to calculate the expanded uncertainty and relative uncertainty of these parameters. A set of dynamic calibration experiments for a pressure sensor are carried out with shock tube system. The uncertainties of dynamic characteristic parameters in both time and frequency domains are calculate and the results are compared with the existing methods. The experimental results show that the proposed method makes up the defect of the Bessel method in evaluating the sequence with small sample size. The relative errors of uncertainty results between the proposed method and Monte-Carlo method are less than 10%. It demonstrates that the proposed method works effectively in evaluating the uncertainty of pressure sensor's dynamic characteristic parameters. In addition, the analysis of the relative uncertainty evaluation results of the dynamic characteristic parameters in both time and frequency domains show that the work frequency band and overshoot are susceptible to the noises, and it can provide significant reference for the improvement of the dynamic calibration experiment conditions.
| [1] |
AMABILI M, BRESLAVSKY I D.Displacement dependent pressure load for finite deflection of doubly-curved thick shells and plates[J].International Journal of Non-Linear Mechanics, 2015, 77:265-273. doi: 10.1016/j.ijnonlinmec.2015.09.007
|
| [2] |
YOUNAS D, SIDDHARTH M, CARL H S, et al.Petrophysical interpretation of laboratory pressure-step-decay measurements on ultra-tight rock samples.Part 1-In the presence of only gas slippage[J].Journal of Petroleum Science and Engineering, 2017, 156:381-395. doi: 10.1016/j.petrol.2017.06.013
|
| [3] |
RAKESH K M, DEV D P, AVINASH K A.Digital signal processing of cylinder pressure data for combustion diagnostics of HCCI engine[J].Mechanical Systems and Signal Processing, 2013, 36(1):95-109. doi: 10.1016/j.ymssp.2011.07.014
|
| [4] |
KENNETH G, SHIDEH D, YOUSSEF M A H.Dynamic calibration of tactile sensors for measurement of soil pressures in centrifuge[J].Geotechnical Testing Journal, 2015, 38(3):261-274.
|
| [5] |
张力, 李程, 刘晶. 动态压力传感器检定规程: JJG 624-2005[S]. 北京: 机械工业出版社, 2005.
ZHANG L, LI C, LIU J. Verification regulation of dynamic pressure transducers: JJG 624-2005[S]. Beijing: Machinery Industry Press, 2005(in Chinese).
|
| [6] |
YAO Z J, WANG Z Y, FORREST Y L J, et al.Empirical mode decomposition-adaptive least squares method for dynamic calibration of pressure sensors[J].Measurement Science and Technology, 2017, 28(4):045010. doi: 10.1088/1361-6501/aa5c25
|
| [7] |
DOWNES S, KNOTT A, ROBINSON I.Towards a shock tube method for the dynamic calibration of pressure sensors[J].Philosophical Transactions of the Royal Society A, 2014, 372:20130299. doi: 10.1098/rsta.2013.0299
|
| [8] |
ZELAN M, ARRHEN F, JARLEMARK P.Characterization of a fiber-optic pressure sensor in a shock tube system for dynamic calibrations[J].Metrologia, 2015, 52(1):48-53. doi: 10.1088/0026-1394/52/1/48
|
| [9] |
LI Q, WANG Z Y, WANG Z R, et al.Novel method for estimating the dynamic characteristics of pressure sensor in shock tube calibration test[J].Review of Scientific Instrument, 2015, 86(6):065002. doi: 10.1063/1.4921853
|
| [10] |
CROWDER S V, MOYER R D.A two-stage Monte Carlo approach to the expression of uncertainty with non-linear measurement equation and small sample size[J].Metrologia, 2006, 43(1):34-41. doi: 10.1088/0026-1394/43/1/005
|
| [11] |
MIURA T, HUETE A R, YOSHIOKA H.Evaluation of sensor calibration uncertainties on vegetation indices for MODIS[J].IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(3):1399-1409. doi: 10.1109/36.843034
|
| [12] |
袁俊先, 蔡菁.基于正弦压力校准装置的压力传感器不确定度评定[J].计测技术, 2013(S1):190-192.
YUAN J X, CAI J.Uncertainty evaluation for pressure transducer based on the sine pressure generator[J].Testing Technology, 2013(S1):190-192(in Chinese).
|
| [13] |
李强, 王中宇, 王卓然.压力传感器动态校准不确定度评定[J].北京航空航天大学学报, 2015, 41(5):847-856.
LI Q, WANG Z Y, WANG Z R.Uncertainty evaluation for the dynamic calibration of pressure transducer[J].Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5):847-856(in Chinese).
|
| [14] |
黄俊钦.动态不确定度的估算方法和应用实例[J].计量学报, 2005, 26(4):372-375. doi: 10.3321/j.issn:1000-1158.2005.04.020
HUANG J Q.Estimation method and application of dynamic uncertainty[J].Acta Metrologica Sinica, 2005, 26(4):372-375(in Chinses). doi: 10.3321/j.issn:1000-1158.2005.04.020
|
| [15] |
HUANG N E, SHEN Z, LONG S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Philosophical Transactions of the Royal Society A, 1998, 454(1):903-995.
|
| [16] |
GUO C, WEN Y, LI P, et al.Adaptive noise cancellation based on EMD in water-supply pipeline leak detection[J].Measurement, 2016, 79:188-197. doi: 10.1016/j.measurement.2015.09.048
|
| [17] |
ELSTER C, LINK A, BRUNS T.Analysis of dynamic measurements and determination of time-dependent measurement uncertainty using a second-order model[J].Measurement Science and Technology, 2007, 18(12):3682-3687. doi: 10.1088/0957-0233/18/12/002
|
| [18] |
MATTHEWS C, PENNECCHI F, EICHSTADT S.Mathematical modeling to support traceable dynamic calibration of pressure sensors[J].Metrologia, 2014, 51(3):326-338. doi: 10.1088/0026-1394/51/3/326
|
| [19] |
WANG Z Y, LI Q, WANG Z R, et al.Novel method for processing the dynamic calibration signal of pressure sensor[J].Sensors, 2015, 15(7):17748-17766. doi: 10.3390/s150717748
|
| [20] |
WANG Y Q, WANG Z Y, SUN J Y, et al.Gray bootstrap method for estimating frequency-varying random vibration signals with small samples[J].Chinese Journal of Aeronautics, 2014, 27(2):383-389. doi: 10.1016/j.cja.2013.07.023
|
| [21] |
夏新涛, 陈晓阳, 张永振, 等.滚动轴承乏信息实验分析与评估[M].北京:科学出版社, 2007:47-48.
XIA X T, CHEN X Y, ZHANG Y Z, et al.Experimental analysis and evaluation of the rolling bearing with poor information[M].Beijing:Science Press, 2007:47-48(in Chinese).
|
| [22] |
王伟, 宋明顺, 陈意华, 等.蒙特卡洛方法在复杂模型测量不确定度评定中的应用[J].仪器仪表学报, 2008, 29(7):1446-1449. doi: 10.3321/j.issn:0254-3087.2008.07.021
WANG W, SONG M S, CHEN Y H, et al.Application of Monte-Carlo method in measurement uncertainty evaluation of complicated model[J].Chinses Journal of Scientific Instrument, 2008, 29(7):1446-1449(in Chinese). doi: 10.3321/j.issn:0254-3087.2008.07.021
|
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