Moving least squares-based multi-functional sensing technique for estimating viscosity and density of ternary solution

Liu Dan, Wei Guo, SenJinWei, LiuXin

Institute of Intelligent Testing and Information Processing Technology,Harbin Institute of Technology,Harbin 150001,China



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 ¡À1.24%.In the other mode,by taking total experimental data except the ones for estimation as calibration data,the relative deviations are less than ¡À3.47%.In the same way,the density of ternary solution can be also estimated with deviations less than ¡À 0.11% and ¡À 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.

Key words:  viscosity estimation  density estimation  Moving Least Squares  ternary solution

DOI£º10.11916/j.issn.1005-9113.2009.04.004

Clc Number:TS201

Fund: