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乏信息材料布氏硬度测量误差的预报是硬度计量领域的新兴课题,有别于传统的统计学理论,综合灰色系统理论和自助法的理论知识,提出一种实现乏信息材料布氏硬度测量误差预报新方法.对小样本空间的材料布氏硬度测量数据中各误差源影响进行标定,计算各误差源对测量结果的误差传递系数,并对各误差源数据序列进行自助法抽样,通过灰自助融合建模获得误差源标定预测值;按照误差合成的方法实现乏信息材料布氏硬度测量误差的灰自助预报.通过具体的实例进行计算,所得的预报结果与采用标准硬度机所得测量结果一致,验证了乏信息材料布氏硬度测量误差灰自助预报新方法.
The prediction of Brinell hardness measurement error of scarce information material is an emerging topic in the field of hardness measurement. Compared with the traditional statistical theory, the theory of gray system theory and self-help method, a method to measure the Brinell hardness of the scarce information material is proposed The new method of forecasting is used to calibrate the error sources in Brinell hardness measurement data of small sample space, calculate the error transfer coefficient of each error source and measure the data sequence of each error source by self-help sampling The error self-prediction method was used to realize the gray self-forecasting of the error of the Brinell hardness measurement of the scarce information material.According to the concrete example, the predicted results were consistent with those obtained by the standard hardness machine, This paper verifies a new method of self-forecasting gray error of the Brinell hardness measurement of the scarce information material.