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- W2394390627 abstract "For multi-stage problems in batch production process,a method of implementing the multi-stage fuzzy clustering based on the data dynamic characteristics of CPV(1)(cumulative percent variance of the first principal component) is proposed to realize multistage soft division.The defects of the traditional way of hard division of batch process are solved,and the process of multi-stage is divided more accurate.The improved MPCA(multiway principal component analysis) model based on multiple stages with time-varying principal component covariance is built for batch process monitoring.This method is applied to a penicillin fermentation process,the reliability and effectiveness of the proposed method are verified." @default.
- W2394390627 created "2016-06-24" @default.
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- W2394390627 date "2014-01-01" @default.
- W2394390627 modified "2023-09-24" @default.
- W2394390627 title "A New Method of Improved MPCA for Multi-Stage Batch Process Monitoring" @default.
- W2394390627 hasPublicationYear "2014" @default.
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