Moving least squares-based multi-functional sensing technique for estimating viscosity and density of ternary solution |
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Authors: | Liu Dan Wei Guo SenJinWei and LiuXin |
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Affiliation: | Institute of Intelligent Testing and Information Processing Technology;Harbin Institute of Technology;Harbin 150001;China |
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Abstract: | In the osmotic dehydration process of food,on-line estimation of concentrations of two components in ternary solution with NaCl and sucrose was performed based on multi-functional sensing technique.Moving Least Squares were adopted in approximation procedure to estimate the viscosity of such interested ternary solution with the given data set.As a result,in one mode of using total experimental data as calibration data and validation data,the relative deviations of estimated viscosities are less than ±1.24%.In the other mode,by taking total experimental data except the ones for estimation as calibration data,the relative deviations are less than ±3.47%.In the same way,the density of ternary solution can be also estimated with deviations less than ± 0.11% and ± 0.30% respectively in these two models.The satisfactory and accurate results show the extraordinary efficiency of Moving Least Squares behaved in signal approximation for multi-functional sensors. |
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Keywords: | viscosity estimation density estimation Moving Least Squares ternary solution |
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