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文章摘要
基于映射常数的动态量值不确定度评定方法
Evaluation method of uncertainty for dynamic values based on mapping constants
Received:February 26, 2020  Revised:February 26, 2020
DOI:DOI: 10.19753/j.issn1001-1390.2022.06.008
中文关键词: 动态测试;测量不确定度;量值溯源;标准偏差  校准
英文关键词: dynamic measurement, measurement uncertainty, quantity traceability, standard deviation, calibration
基金项目:
Author NameAffiliationE-mail
Lu Da* China Electric Power Research Institute luda002@163.com 
Bai Jingfen China Electric Power Research Institute jfbai@epri.sgcc.com.cn 
Lin Fantao China Electric Power Research Institute ftlin@epri.sgcc.com.cn 
Duan Yongxian China Electric Power Research Institute jls-duanyonxgxian@epri.sgcc.com.cn 
Meng Jing China Electric Power Research Institute mengj@epri.sgcc.com.cn 
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中文摘要:
      动态量值持续变化、无法重复观测导致不确定度难以评定。为解决这一难题,文中采用推导出的映射算法,将动态量值映射为常数,得到可重复观测的量值;分析了算法推导过程中假设条件、算法参数对算法评定结果的影响和动态量值不确定度对信号复现性的影响;利用MATLAB仿真,验证了提出的映射常数算法可以有效评定典型动态量值的不确定度;对录波仪记录的实际数据进行分析,验证了提出算法的实用性。提出的算法可以应用于录波仪等以采样值为基础的设备的动态不确定度中。
英文摘要:
      Dynamic values always changed and cannot be observed repetitively which led to the measurement uncertainty were hard to be evaluated. To solve the problem, dynamic values were mapped into constants with an algorithm derived in this paper so that repeated observation can be realized. It was analyzed in this paper that the effect of assumptions, parameters on the algorithm evolution results, and the influence of uncertainty of dynamic values on the reproducibility of a signal. Simulation was completed in MATLAB, which illustrated the effectiveness of the mapping constant algorithm (MCA) in evaluation of uncertainty for typical dynamic values. The actual data from a recorder was analyzed to verify the practicability of the MCA. The MCA can be used in evaluation of uncertainty of recorders or any other devices based on samples.
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