The preparation of reference samples for refractoriness under load （ non-differential, with rising temperature） of refractories was discussed. According to features and application of reference samples, quartz glass...The preparation of reference samples for refractoriness under load （ non-differential, with rising temperature） of refractories was discussed. According to features and application of reference samples, quartz glass was chosen as a stand-by reference material for uniformity and stability tests. Then, the true value was fixed by gathering the testing results from many labs with stable testing levels and reliable testing results in China. The testing results from these labs were used for normality test by Shapiro-wilk method; and for abnormality value test by Grubbs method, for equal observation test by Cochran method. After confirming no abnormality values among the testing results from the labs. the average values of reference samples were calculated and the uncertainty was appraised. The results show that the standard value of reference samples is 1 386 ℃ and the expanded uncertainty is 12 ℃.展开更多
Deducting interference method was applied to determine the concentration of nitrogen in the presence of Ti.This procedure is available in treating the interference of same order diffraction in EPMA.
In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop sy...In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop system structure, the idea of virtual reference feedback tuning is proposed to avoid the identification process corresponding to the plant model. After constructing one identification cost without any knowledge of plant model, the author derives one bound on the difference between the expected identification cost and its sample identification cost under the condition that the number of data points is finite. Also the correlation between the plant input and external noise is considered in the derivation of this bound. Furthermore, the author continues to derive one probability bound to quantify this difference by using some probability inequalities and control theory.展开更多
文摘The preparation of reference samples for refractoriness under load （ non-differential, with rising temperature） of refractories was discussed. According to features and application of reference samples, quartz glass was chosen as a stand-by reference material for uniformity and stability tests. Then, the true value was fixed by gathering the testing results from many labs with stable testing levels and reliable testing results in China. The testing results from these labs were used for normality test by Shapiro-wilk method; and for abnormality value test by Grubbs method, for equal observation test by Cochran method. After confirming no abnormality values among the testing results from the labs. the average values of reference samples were calculated and the uncertainty was appraised. The results show that the standard value of reference samples is 1 386 ℃ and the expanded uncertainty is 12 ℃.
文摘Deducting interference method was applied to determine the concentration of nitrogen in the presence of Ti.This procedure is available in treating the interference of same order diffraction in EPMA.
基金supported by Jiangxi Provincial National Science Foundation under Grant No.20142BAB206020
文摘In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop system structure, the idea of virtual reference feedback tuning is proposed to avoid the identification process corresponding to the plant model. After constructing one identification cost without any knowledge of plant model, the author derives one bound on the difference between the expected identification cost and its sample identification cost under the condition that the number of data points is finite. Also the correlation between the plant input and external noise is considered in the derivation of this bound. Furthermore, the author continues to derive one probability bound to quantify this difference by using some probability inequalities and control theory.
