基于灰色系统理论的流速仪检定装置测量不确定度评定  

Measurement uncertainty evaluation of flow meter calibration device based on grey system theory

作　　者：张龙[1] 叶松[1] 周树道[1] 陈振涛 Zhang Long;Ye Song;Zhou Shudao;Chen Zhentao.(College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China)

机构地区：[1]国防科技大学气象海洋学院

出　　处：《电子测量技术》2018年第3期1-5,共5页Electronic Measurement Technology

基　　金：国家自然科学基金(40976062);国家自然科学基金青年基金(41406107)项目资助;江苏省自然科学基金(BK2012513)

摘　　要：通过融合灰色系统理论和不确定度评定方法，建立了适用于小样本且未知分布测量数据的非统计不确定度评定模型，并将其运用到流速仪检定结果的不确定度评定中。根据选取的一系列流速检定点进行实验，分别采用灰色系统方法、贝塞尔法、极差法、最大误差法计算检定结果的A类不确定度分量。通过对比分析证明了灰色系统理论在小样本数据测量不确定度评定问题中的可行性，并对检定装置B类不确定度分量的来源和评定方法进行了研究。A non-statistical uncertainty evaluation model which was suitable for small sample and unknown distribution measurement data was established by combining the grey system theory and uncertainty evaluation method. And this model could be applied to the uncertainty evaluation of flow meter calibration results. The calibration experiment was carried out based on a series of velocity points. Grey system method, bessel method, range method and maximum error method were used to calculate the type A uncertainty component of the calibration results. The feasibility of grey system theory in uncertainty evaluation of small sample data was proved by comparison and analysis. In addition, the sources and evaluation methods of type B uncertainty components of calibration device were studied,

关 键 词：流速仪检定装置 灰色系统理论 不确定度评定 对比分析 

分 类 号：TN06[电子电信—物理电子学]