Hybrid modelling and monitoring of streptomycin fermentation process

The principal component analysis (PCA) and fuzzy model are used to monitor fed-batch streptomycin fermentation in this paper. The data obtained from industrial streptomycin fermentation process is preliminary analyzed with PCA so that the large multivariate data with highly correlated and noisy measurements can be compressed into a lower dimension space that contains most of the variance of the original matrix. Moreover, fuzzy model is used to construct a product (antibiotic) concentration estimator of the streptomycin fermentation process in that prior knowledge and expertise are important in fed-batch fermentation processes. The results of fuzzy model comparing with linear multivariate regression model indicate that the potential of fuzzy model as state estimator of all such industrial fed-batch processes.