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化学测量中不确定度的计算方法——不确定度连续传递模型计算示例
引用本文:朱家平,刘建坤,王亚平,谢恩平.化学测量中不确定度的计算方法——不确定度连续传递模型计算示例[J].地质通报,2010,29(11):1721-1725.
作者姓名:朱家平  刘建坤  王亚平  谢恩平
作者单位:1. 中国地质调查局南京地质矿产研究所,江苏,南京,210016
2. 国家地质实验测试中心,北京,100037
基金项目:2008年公益性行业科研专项资金项目《地下水无机检测标准方法溯源系统建设》 
摘    要:不确定度连续传递模型的基本步骤为:①对标准曲线的各点进行不确定度评定,给出各点的标准不确定度;②对标准曲线各点的响应值进行多次测定,得出其平均值和标准不确定度;③以这2个标准不确定度为权重进行拟合,得出双误差拟合方程和标准不确定度的计算公式;④计算标准曲线各点与其校准点的差值,并将其转换成标准不确定度;⑤将以上4项按不确定度传播规律计算总不确定度。实际测量时, ①、②、④步用插值法算得。通过一个实例比较了不同拟合方法间结果的差别,说明了运用X、Y的相对误差作为权重的直线拟和,再加上“不确定度连续传递模型”算得的测量不确定度更为合理。

关 键 词:不确定度  加权回归  双误差

Uncertainty calculation method in chemical measurement-calculating example of Continuous Propagation Model of Uncertainty
ZHU Jia-ping,LIU Jian-kun,WANG Ya-ping,XIE En-ping.Uncertainty calculation method in chemical measurement-calculating example of Continuous Propagation Model of Uncertainty[J].Geologcal Bulletin OF China,2010,29(11):1721-1725.
Authors:ZHU Jia-ping  LIU Jian-kun  WANG Ya-ping  XIE En-ping
Institution:1. Nanjing Institute of Geology and Mineral Resources, China Geological Survey, Nanjing 210016, Jiangsu, China;2. National Research Center of Geo-analysis, Beijing 100037, China
Abstract:Basic steps of Continuous Propagation Model of Uncertainty are as follows:firstly, evaluate the uncertainty of standard series and obtain the standard uncertainty;secondly,determine the response value of standard series time again and calculate the mean and standard uncertainty; thirdly, fit the standard curve by double errors regression and obtain the double-errors fitting equation along with calculation equation of standard uncertainty;and then calculate the different values between standard points and calibration points,moreover, convert it into the standard uncertainty;finally, total uncertainty of all above are calculated by the rule of uncertainty propagation. The 1, 2, 4 steps are calculated by interpolation in actual measurement. Furthermore ,calculation results by different fitting methods are compared and proved the measurement uncertainty that calculated by the model is more reasonable.
Keywords:uncertainty  weighted regression  double errors
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