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Phase partition for nonlinear batch process monitoring

Lookup NU author(s): Dr Jie ZhangORCiD

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Abstract

A window-based step-wise sequential phase partition method is proposed for monitoring nonlinear batch processes with multiphase operations. The three-dimensional batch data are unfolded in the batch-wise direction to facilitate establishing the kernel principle component analysis (KPCA) models. A moving window is introduced to maintain the kernel parameters unchanged for computation while preserving the time sequence of different phases, thus capable of significantly reducing the storage space of kernel matrices and the computation complexity:. A numerical case and a penicillin fermentation process are used to demonstrate the effectiveness and merit of the proposed method.

Publication metadata

Author(s): Liu JX, Liu T, Zhang J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems DYCOPS-CAB 2016

Year of Conference: 2016

Pages: 1181-1186

Online publication date: 09/08/2016

Acceptance date: 02/04/2016

ISSN: 2405-8963

Publisher: Elsevier B.V.

URL: http://dx.doi.org/10.1016/j.ifacol.2016.07.367

DOI: 10.1016/j.ifacol.2016.07.367

Series Title: IFAC PapersOnLine

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