Uneven Length Batch Process Monitoring Using Function Space Correspondence Analysis

Ela, A and Detroja, Ketan P (2013) Uneven Length Batch Process Monitoring Using Function Space Correspondence Analysis. In: 10th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2013, 18-20, December 2013, Mumbai; India.

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One most significant challenge in batch process monitoring, compared to continuous process monitoring, is handling three-dimensional historical data for batch processes. Conventional batch process monitoring approaches involve unfolding of such historical data into two dimensions. However, this simple unfolding technique is not applicable if batch duration is not constant. For monitoring of uneven length batch processes, function space analysis based principal component analysis (FSPCA) had been proposed earlier. However, this approach has some limitations because PCA is not effective when it comes to fault diagnosis of highly nonlinear systems. In this paper, a new technique called function space correspondence analysis (FSCA) is proposed for monitoring of uneven length batch processes. The proposed FSCA technique is intended to overcome such limitations and to achieve improved diagnostic performance. The improved performance is due to better discriminatory ability of the CA algorithm. Improved diagnostic capabilities of the proposed FSCA technique is demonstrated using fed batch penicillin cultivation process as a case study. The monitoring results demonstrate improved diagnostic performance with FSCA

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Batch process monitoring; Correspondence analysis (CA); Function space analysis (FSA); Function space PCA; Principal components analysis (PCA)
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 27 Nov 2014 11:41
Last Modified: 05 Sep 2017 07:19
URI: http://raiith.iith.ac.in/id/eprint/1030
Publisher URL: https://doi.org/10.3182/20131218-3-IN-2045.00044
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