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压力传感器动态校准不确定度评定

李强 王中宇 王卓然

李强, 王中宇, 王卓然等 . 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. doi: 10.13700/j.bh.1001-5965.2014.0356
引用本文: 李强, 王中宇, 王卓然等 . 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. doi: 10.13700/j.bh.1001-5965.2014.0356
LI Qiang, WANG Zhongyu, WANG Zhuoranet al. Uncertainty evaluation for the dynamic calibration of pressure transducer[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 847-856. doi: 10.13700/j.bh.1001-5965.2014.0356(in Chinese)
Citation: LI Qiang, WANG Zhongyu, WANG Zhuoranet al. Uncertainty evaluation for the dynamic calibration of pressure transducer[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 847-856. doi: 10.13700/j.bh.1001-5965.2014.0356(in Chinese)

压力传感器动态校准不确定度评定

doi: 10.13700/j.bh.1001-5965.2014.0356
基金项目: 国防技术基础项目
详细信息
    作者简介:

    李强(1982—),男,河南新县人,博士研究生,liqiang398@163.com

    通讯作者:

    王中宇(1963—),男,河南洛阳人,教授,mewan@buaa.edu.cn,主要研究方向为光电技术及其应用、动态测量基础理论与技术.

  • 中图分类号: TB939

Uncertainty evaluation for the dynamic calibration of pressure transducer

  • 摘要: 压力传感器动态校准不确定度是表征其测量精度的重要指标.提出一种用于压力传感器动态校准不确定度评价的灰色方法.首先,使用正弦压力发生器产生标准的正弦压力信号驱动被校传感器,获取传感器特征输出;然后采用灰色关联分析处理传感器特征数据,得到权重数列;之后建立灰色模型并计算出各校准频率点的灰色偏度;最后采用加权最小二乘法去拟合以得到的工作频率范围内所有频率点的不确定数据,建立起被校压力传感器的动态校准不确定度模型.设置了幅值变化及不变两种情况下的实验验证方案,使用本文所提灰方法及黄方法分别对各方案下的数据进行处理;实验结果的对比表明:两种方案下所得动态校准不确定度曲线模型具有一致性;其中幅值变化情况下,两种方法在指定校准频率点所得校准不确定度的相对误差优于6%,在测试频率点相对误差也小于10%;幅值不变情况下,在大部分频率点处所得相对误差普遍小于5%,部分优于0.018%.实验分析证明,所提灰方法能很可靠地评估压力传感器动态校准不确定度.

     

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出版历程
  • 收稿日期:  2014-06-16
  • 修回日期:  2014-08-25
  • 网络出版日期:  2015-05-20

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