| 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.
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