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Increase Of Accuracy Of Parameter Controls Of Granular Materials

机译:颗粒材料参数控制精度的提高

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The reliability of parameter controls of granular materials is a prime factor for quality assurance while their production and exploitation. Control reliability of granular materials is hardly influenced by estimation accuracy of a measure of proximity between controlled and standard parameters. If we take into account that the measurement of both inspected, and standard parameters occurs with an error, then while estimation the measure of proximity between them the error will increase. Therefore, the minimization of estimation errors of the proximity measure between controlled and standard parameters of granular materials is a very actual topic. For minimization of this estimation error of the proximity measure between controlled and standard parameters of granular materials on the basis of Euclidean distance we offer a procedure of increasing of correlation between measuring errors of these parameters inclusive of singularities of composition of their image distribution laws. The implementation of this procedure is achieved by ranking of the measured values by ascending order, by experimental estimation of a value □~* with a further calculation of an actual value of a measure of proximity between controlled and standard parameters of granular materials.
机译:颗粒材料参数控制的可靠性是其生产和开发过程中保证质量的主要因素。颗粒材料的控制可靠性几乎不受受控参数和标准参数之间接近程度的估计精度的影响。如果考虑到对被检查参数和标准参数的测量均出现误差,则在估计它们之间的接近度时,误差会增加。因此,使颗粒材料的受控参数和标准参数之间的接近度估计误差最小化是一个非常实际的课题。为了最小化基于欧几里德距离的颗粒材料的受控参数和标准参数之间的接近度估计误差,我们提供了一种增加这些参数的测量误差之间相关性的过程,包括其图像分布定律的组成奇异性。该过程的实现是通过对测量值进行升序排序,通过对值进行实验估计而进一步计算颗粒材料的受控参数和标准参数之间的接近度的实际值来实现的。

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