A kind of neural network model of quasi-static calibration of shock wave pressure sensor

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (13) : 92-95.

ZHAO Chuan-Rong1; KONG De-Ren1; WANG Shen-Qiang ;SHANG Fei1

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Abstract

By the principle of quasi-static calibration of shock wave pressure sensor, the comparison calibration accuracy depended on the accuracy of fitting model between the height of drop-hammer and pressure. The paper applied the RBF neural network to set up the neural network model whose input was the height of drop-hammer and output was the shock wave pressure peak. Choosing a certain type of standard pressure sensor, the calibration experiment was carried out in the range of 7MPa-30MPa. By analyzing the test samples, the result indicated that the maximum relative error of the neural network model is not more than 0.04% and a higher magnitude than the polynomial fitting model and exponential fitting model. The uncertainty introduced by the fitting model between the height of drop-hammer and pressure is an important component of dynamic measurement uncertainty of shock wave pressure sensor. Building the neural network fitting model between the height of drop-hammer and shock wave pressure peak will lay the foundation of improving the measurement accuracy of shock wave pressure sensor.

Key words

shock wave pressure sensor / RBF neural network / quasi-static calibration / fitting model

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ZHAO Chuan-Rong1; KONG De-Ren1; WANG Shen-Qiang ;SHANG Fei1. A kind of neural network model of quasi-static calibration of shock wave pressure sensor[J]. Journal of Vibration and Shock, 2017, 36(13): 92-95

References

[1] XING Qin, ZHANG Jun and QIAN Min. Design, calibration and error analysis of a piezoelectric thrust dynamometer for small thrust liquid pulsed rocket engines [J ].Measurement, 2011(44):338-344.
[2] 孔德仁, 朱明武, 李永新, 等. 压力传感器准静态“绝对校准”[J]. 传感器技术，2001, 20(12): 32-34.
KONG De-ren, ZHU Ming-wu, LI Yong-xin, et al. Quasi- static absolute calibration on pressure-measuring sensors. Journal of Transducer Technology, 2001, 20(12): 32-34. (in Chinese)
[3] 张玉山, 元虎堂. 压电式传感器的准静态校准[J]. 计量与测试技术, 2009,36(1): 33-34.
ZHANG Yu-shan, YUAN Hu-tang. Quasi- static calibration method of piezoelectric transducers[J]. Metrology & Measurement Technique, 2009,36(1): 33-34. (in Chinese)
[4] 杜红棉,祖静,马铁华等.自由场传感器外形结构对冲击波测试的影响研究[J].振动与冲击,2011,30(11):85-89.
    DU Hongmian, ZU Jing, MA Tiehua,et al. Effect of mount configuration of free-field transducers on shock wave measurement[J]. Journal of Vibration ans Shock, 2011, 30(11): 85-89.(in Chinese)
[5] 李强, 王中宇, 王卓然, 等. 压力传感器激波管校准条件下的动态参数估计[J].北京航空航天大学学报, 2015,41(7):1223-1230.
    LI Qiang, WANG Zhongyu, WANG Zhuoran, et al. Dynamic parameter estimation of pressure transducer in shock tube calibration test[J].Journal of Beijing University of Aeronautics and Astronautics,2015, 41(7): 1223-1230.(in Chinese)
[6] 孔德仁, 朱明武, 李永新, 等. 量纲分析在传感器绝对校准建模中的应用[J]. 弹道学报，2002,14(1):93-96.
KONG De-ren, ZHU Ming-wu, LI Yong-xin, et al. The application of dimension analysis on making absolute calibration model of transducers[J]. Journal of Ballistics, 2002,14(1):93-96. (in Chinese)
[7] 孔德仁, 朱明武, 李永新, 等. 基于落锤动标装置的传感器准静态绝对校准方法[J]. 南京理工大学学报, 2002, 26(1): 48-51.
KONG De-ren, ZHU Ming-wu, LI Yong-xin, et al. Means of quasi-static absolute calibration of pressure-measuring transducers based on the drop-hammer dynamic pressure calibration system[J]. Journal of Nanjing University of Science and Technology, 2002, 26(1): 48-51. (in Chinese)
[8] 朱明武.压力准静态校准技术[J].宇航计测技术,2004, 24(2): 19-22.
ZHU Ming-wu. Pressure quasi-static calibration technology[J].Journal of Astronautic Metrology and Measurement, 2004, 24(2): 19-22. (in Chinese)
[9] 狄长安, 孟祥明, 边鹏, 等. 高压压电传感器静态与准静态校准方法研究[J]. 弹道学报, 2014,26(2): 86-89.
DI Chang-an, MENG Xiang-ming, BIAN Peng, et al. Analysis on static and quasi- static sensitivity characteristics of high-pressure piezoelectric sensors[J]. Journal of Ballistics, 2014, 26(2): 86-89. (in Chinese)
[10] 王丽, 刘训涛. 基于神经网络的压力传感器标定技术[J]. 煤炭技术, 2006,25(7): 109-110.
WANG Li, LIU Xun-tao. Calibration of pressure sensor based on neural network[J]. Coal Technology, 2006,25(7): 109-110. (in Chinese)
[11] 陈明. MATLAB神经网络原理与实例精解[M]. 北京: 清华大学出版社, 2014.
    CHEN Ming. MATLAB neural network theory and example[M]. Beijing: Tsinghua University Press, 2014.(in Chinese)