自动测试系统测量不确定度评定新方法

New Method for Measurement Uncertainty Evaluation of Automatic Test System

提出了采用模糊理论解决自动测试系统在非标准环境下测量不确定度评定的方法。首先在一系列环境下对自动测试系统进行检定,将检定环境作为标准样本,然后通过选择合适的相似因子,计算待测环境与样本环境的相似优先比,建立起相似优先比矩阵,并计算得到各相似因子下的相似顺序数,最后通过各相似因子的权值计算各样本的加权顺序数,加权顺序数最小的检定环境为与待测环境最相似的样本,该样本环境下的检定结果作为待测环境下自动测试系统的不确定度指标。

Fuzzy theory is adopted to evaluate the measurement uncertainty of the automatic test system （ATS） used under a nonstandard environment. Firstly, the automatic test system is verified in serials of environments, these verification environments are regarded as standard sample environments. Then by selecting proper similarity factors, the priority ratios between the nonstandard environment and these standard sample environments are calculated, a similarity priority ratio matrix is established, and the similarity order numbers corresponding to each similarity factor are obtained. Lastly, according to the weigh value of each similarity factor, the weighed similarity order numbers of each standard sample are calculated. The verification environment that has the minimum weighed similarity order number is the most similar sample to the nonstandard environment. The verification result under this sample environment is regarded as the measurement uncertainty of the automatic test system used under the nonstandard environment.