Abstract Considering the difficulty of keeping the accuracy of on-line product concentration measurement in practical process under scaling or scabbing conditions, Kernel partial least square (KPLS) algorithm is proposed to build soft-sensor model for the product concentration based on the analysis of nonlinear characteristic and factors affecting product concentration of the vertical tube falling-film evaporator. KPLS-based model realizes on-line concentration measurement by effectively extracting nonlinear eigenvector of concentration and relevant detection variables. Simulation results show that the KPLS-based model achieved better performance in accuracy than that in the conventional linear partial least squares-based model, and relative error for production concentration measurement can meet the practical requirements.
CHAI Qin-qin,YANG Chun-hua,GUI Wei-hua. Soft-sensor for Product Concentration of Evaporator Based on KPLS[J]. Acta Metrologica Sinica, 2011, 32(2): 178-181.
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2011, Vol. 32 
