Advanced Search
Volume 41 Issue 7
Jul.  2015
Turn off MathJax
Article Contents
Journal of Beijing University of Aeronautics and Astronautics  > 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. doi: 10.13700/j.bh.1001-5965.2014.0549(in Chinese)
Citation: 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. doi: 10.13700/j.bh.1001-5965.2014.0549(in Chinese)
shu

Dynamic parameter estimation of pressure transducer in shock tube calibration test

doi: 10.13700/j.bh.1001-5965.2014.0549
  • 1.

    School of Instrumentation Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. Beijing Changcheng Institute of Metrology and Measurement, Beijing 100095, China

  • Received Date: 09 Sep 2014
  • Rev Recd Date: 24 Oct 2014
  • Publish Date: 20 Jul 2015
    Abstract
  • Shock tube is the key device in the pressure transducer dynamic calibration. But as the output of pressure transducer often contains strong interference, which makes it difficult to directly use the output to build the dynamic model of calibrated pressure transducer, in addition, the accuracy of the model is hard to be characterized. A parameter estimation method was proposed which could be applied to pressure transducer in shock tube calibration test. Firstly, the operation of information generation was employed to process the output of calibrated pressure transducer under the pressure of step excitation, and then estimated sequences, upper boundary and lower boundary were obtained. Secondly, the processing methods about filtering and modeling were used to deal with the estimated sequences, upper and lower boundary, and then we could obtain the best estimated value model, the upper boundary model and the lower boundary model. Finally, by solving the obtained models, the indicators obtained by the best estimated model was the best characteristic indicator of the calibrated transducer, the indicators obtained by upper and lower boundary model could compose confidence interval of best indicators, it could show the reliability of the best indicators. A calibration test of shock tube is conducted with the piezoresistive pressure transducer of Endevco 200 series type. The relative errors of dynamic indices of time-domain are no more than 8.17%; the relative errors of dynamic indices of frequency-domain are no more than 9.15%. All the obtained indicators fall in the estimated interval with 100% probability of reliability.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    黄俊钦. 测试系统动力学及其应用[M].北京: 国防工业出版社, 2013: 5-6. Huang J Q.Measurement system dynamics and its application[M].Beijing: National Defense Industry Press, 2013: 5-6(in Chinese).
    [2]
    Mozek M, Vrtacnik D, Resnik D, et al.Calibration system for smart pressure sensors[J].Informacije Midem-Journal of Microe Lectronics Electronic Components and Materials, 2006, 36(3): 161-165.
    [3]
    Wisniewiski D. Second generation shock tube calibration system[J].International Journal of Acoustics and Vibration, 2012, 17(3): 133-138.
    [4]
    Persico G, Gaetani P, Guardone A.Dynamic calibration of fast-response probes in low-pressure shock tubes[J].Measurement Science & Technology, 2005, 16(9): 1751-1759.
    [5]
    Revel G M, Pandarese G, Cavuto A.The development of a shock-tube based characterization technique for air-coupled ultrasonic probes[J].Ultrasonics, 2014, 54(6): 1545-1552.
    [6]
    Kajikawa H, Kobata T.Reproducibility of calibration results by 0-A-0 pressurization procedures for hydraulic pressure transducers[J].Measurement Science and Technology, 2014, 25(1): 015008.
    [7]
    Sharifian S A, Buttsworth D R.Evaluation of glued-diaphragm fibre optic pressure sensors in a shock tube[J].Shock Waves, 2007, 16(3): 189-197.
    [8]
    Haboussa G, Ortiz R, Deletombe E, et al.A measurement study of a pressure transducer subjected to water drop impact[J].International Journal of Crashworthiness, 2008, 13(1): 49-66.
    [9]
    Medici E F, Allen J S, Waite G P.Modeling shock waves generated by explosive volcanic eruptions[J].Geophysical Research Letters, 2014, 41(2): 414-421.
    [10]
    王中宇, 刘智敏, 夏新涛.测量误差与不确定度评估[M].北京: 科学出版社, 2008: 11-12. Wang Z Y, Liu Z M, Xia X T, et al.Measurement error and uncertainty evaluation[M].Beijing: Science Press, 2008: 11-12(in Chinese).
    [11]
    Yatracos Y. Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling[J].Statistics & Probability Letters, 2002, 59(3): 281-292.
    [12]
    Davidson R, Mackinnon J G.Bootstrap confidence sets with weak instruments[J].Econometric Reviews, 2014, 33(5-6): 651-675.
    [13]
    Yin M S. Fifteen years of grey system theory research: A historical review and bibliometric analysis[J].Expert Systems with Applications, 2013, 40(7): 2767-2775.
    [14]
    Wang Z Y, Meng H, Fu J H.Novel method for evaluating surface roughness by grey dynamic filtering[J].Measurement, 2010, 43(1): 78-82.
    [15]
    Ge L Y, Wei Z, Huang S L.Novel error prediction method of dynamic measurement lacking information[J].Journal of Testing and Evaluation, 2012, 40(1): 37-42.
    [16]
    Ge L Y, Wang Z Y.Novel uncertainty-evaluation method of virtual instrument small sample size[J].Journal of Testing and Evaluation, 2008, 36(3): 273-279.
    [17]
    Preston S P, Wood A T A.Two-sample bootstrap hypothesis tests for three-dimensional labeled landmark data[J].Scandinavian Journal of Statistics, 2010, 37(4): 568-587.
    [18]
    Tien T L. A research on the prediction of machining accuracy by the deterministic grey dynamic model DGDM(1, 1, 1)[J].Applied Mathematics and Computation, 2005, 161(3): 923-945.
    [19]
    Kajikawa H, Kobata T.Effects of pressurization procedures on calibration results for precise pressure transducers[J].Measurement Science and Technology, 2010, 21(6): 065104.
    [20]
    JJG860—94 压力传感器检定规程(静态)[S].北京: 国家质量技术监督局, 1994: 1-3. JJG860—94 Verification regulation of pressure transducer(static)[S].Beijing: China State Bureau of Technical Supervision, 1994: 1-3(in Chinese).
    [21]
    JJG 624—2005 压力传感器动态检定规程[S].北京: 国家质量技术监督局, 2005: 1-4. JJG 624—2005 Verification regulation of dynamic pressure transducers[S].Beijing: China State Bureau of Technical Supervision, 2005: 1-4(in Chinese).
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views(810) PDF downloads(495) Cited by()
    Proportional views
    Related

    Copyright © Journal of Beijing University of Aeronautics and Astronautics

    Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return