The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 52-667
Full Name: Guo Hui
Position: Student
Age: ON
Sex: Male
Address: Beisanhuan East Road, Chaoyang District, Beijing, 100029
Country: CHINA
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E-mail address: guohui@grad.buct.edu.cn
Other E-mails: guo_h@nxu.edu.cn
Title of the Paper: An Improved MICA Approach with Applications to Batch Process Monitoring
Authors as they appear in the Paper: Li Hongguang, Guo Hui
Email addresses of all the authors: guohui@grad.buct.edu.cn, lihg@mail.buct.edu.cn
Number of paper pages: 10
Abstract: On-line monitoring of batch processes using multi-way independent component analysis has attracted much attention in both academia and industry. This paper focuses on two knotty issues concerning selecting dominant independent components without a standard criterion and determining the control limits of monitoring statistics in the presence of non-Gaussian distribution. To optimize the number of key independent components, we introduce a novel concept of system deviation which is able to evaluate the reconstructed observations with different independent components. Additionally, the monitored statistics are transformed to Gaussian distribution data by means of Box-Cox transformation, which helps readily determine the control limits. Finally, the proposed method is applied to on-line monitoring of a fed-batch penicillin fermentation simulator, giving rise to satisfied results.
Keywords: Batch process monitoring, MICA, System deviation, Box-Cox transformation, Contribution plots, Fed-batch fermentation
EXTENSION of the file: .pdf
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How Did you learn about congress: Automatic Control in Chemical Processes, Bioengineering, Bioinformatics, Feedback Control in Biology and Chemistry, Bioecology
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