Considering these problems, data reconciliation (DR) with the objective function constructed on robust estimation of contaminated normal distribution is established to deal with the error. Soft measurement using KPLS is introduced to evaluate output concentration to increase the accuracy of DR. Based on steady state data from process; GA is applied to solve the DR model and obtained the estimation value of spot data and immeasurable variables like the out vapor of evaporators.
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