摘要
测量过程中影响因素多且相对复杂,并且具有时变性、随机性,动态测量较之静态测量更具有普遍性。基于动态测量理论对测量数据进行处理,同时为了说明处理后的数据有更大的使用价值,可对数据进行测量不确定度评定。不确定度越小,测量结果的质量越高,使用价值越大。针对直接测量数据和经动态测量理论处理得到的数据先后进行A类评定和贝叶斯评定,通过比较发现,贝叶斯评定优于A类评定;同直接测量数据相比,经动态测量理论处理后的数据,无论A类评定还是贝叶斯评定,不确定度小、可靠性高,从而说明处理后的数据更接近真值,同时也说明了动态测量理论在数据处理方面的可行性和正确性。
Many relatively complex factors affect the measurement process, both time-varying and randomness. Com- pared with static measurements, dynamic measurements are more widely used. This paper processes the measurement data based on the dynamic measurement theory and evaluates uncertainty of measurement to illustrate the processed data with greater use value. Uncertainty is smaller, the higher the quality of measurement results, and the greater the value of the use. Type A evaluation and Bayesian evaluation are done for the raw data and the processed data after dy- namic measurement theory. Through comparative study, it comes to the conclusion that Bayesian evaluation is better than type A evaluation. Compared with raw data, the uncertainty evaluation of the processed data after dynamic meas- urement theory is small, and the reliability is high, which shows the processed data is closer to the true value, and it also illustrates the dynamic measurement theory feasibility and correctness in the data processing.
出处
《电测与仪表》
北大核心
2015年第22期80-84,共5页
Electrical Measurement & Instrumentation
关键词
动态测量
测量不确定度
A类评定
贝叶斯评定
dynamic measurement, uncertainty of measurement, type A evaluation, Bayesian evaluation
作者简介
李慧奇（1970-），男，汉族，河南温县人，副教授，博士，研究方向为电工理论与新技术。Email：huiqili@263．net
王凯红（1984-），女，汉族，河北高邑县人，硕士研究生，研究方向为电工理论与新技术。Email：wangkaihong620@163．com
李思（1983-），男，工程师，工程硕士，从事安全监察工作，主要研究方向为电网运行管理，电力通信与信息安全。Email：lisijcily@163．com
