Monitoring batch processes using multiway Fisher discriminnant analysis
CHEN Ya-hua,JIANG Li-ying, GUO Ming, WANG Shu-qingAdvanced Process Control, Zhejiang University, Hangzhou 310027,China)
MFDA (Multiway Fisher Discriminant Analysis) is proposed in order to monitor batch process. Although MPCA(Multiway Principal Component Analysis) contains certain optimality properties in terms of fault detection, it is not as well-suited for fault diagnosis because it does not use the information about fault. On the contrary, MFDA takes into account the information between the different fault classes and has advantage over MPCA for fault diagnosis. The method is illustrated by a case study of industrial streptomycin fermentation process.