关键词: 自动测试系统, 小样本测量, 灰色系统理论, 贝叶斯信息融合理论, 测量不确定度评定

Abstract: To assess the uncertainty for small sample measurement in the Automatic Test System （ATS）, a novel method based on grey system theory and Bayesian information fusion theory is adopted. The new method is advanced on the typical grey evaluation model of measurement uncertainty, and it introduces the grey relational theory to gain a new grey evaluation model of measurement uncertainty further, and employees the idea of Bayesian information fusion which combines the evaluation results of historical data and current data to get the final uncertainty at last. According to a special example analysis of a transfer unit in the ATS measurement chain, the experimental results indicate that compared with other common methods, the uncertainty results are in good agreements with each other, and the results got from small sample ATS static measurement have a less variation, and the results got from small sample ATS dynamic measurement whose amount of computations is smaller are closer to its dynamic measurement characteristics.

Key words: Automatic Test System（ATS）, small sample measurement, grey system theory, Bayesian information fusion theory, measurement uncertainty evaluation