Phase-identifying-oriented soft sensor for biomass in Nosiheptide fermentation process
基于阶段辨识的诺西肽发酵过程菌体浓度软测量

Fermentation processes have different nonlinear characteristics in different fermentation phases. A Phaseidentifying-oriented soft sensor approach is proposed for estimating the biomass in Nosiheptide fermentation process. Based on the segmented unstructured model of Nosiheptide fermentation process, the secondary variables are selected according to the implicit function existence theorem. The on-line identification of fermentation phases is accomplished by using an indicator variable which is gained by mathematical inference, and for each phase, a local soft sensor model is developed. The practical application results show the effectiveness and validity of the presented approach.