| Author Name | Affiliation | | Liu Dan | Institute of Intelligent Testing and Information Processing Technology,Harbin Institute of Technology,Harbin 150001,China | | Wei Guo | Institute of Intelligent Testing and Information Processing Technology,Harbin Institute of Technology,Harbin 150001,China | | SenJinWei | Institute of Intelligent Testing and Information Processing Technology,Harbin Institute of Technology,Harbin 150001,China | | 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 ±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. |
| Key words: viscosity estimation density estimation Moving Least Squares ternary solution |
| DOI：10.11916/j.issn.1005-9113.2009.04.004 |
| Clc Number:TS201 |
| Fund: |
