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Title: Online prediction of end-of-batch product quality using phase-specific PLS models
Authors: Doan, X.-T.
Srinivasan, R. 
Keywords: dynamic partial least square (DPLS)
dynamic time warping (DTW)
online quality prediction
phase-based monitoring
singular points (SP)
Issue Date: 2006
Citation: Doan, X.-T.,Srinivasan, R. (2006). Online prediction of end-of-batch product quality using phase-specific PLS models. Computer Aided Chemical Engineering 21 (C) : 1257-1262. ScholarBank@NUS Repository.
Abstract: Batch processes are commonly operated in multiple phases; phase-based approaches are intuitively well suited for batch process monitoring and quality prediction. In this paper, we therefore propose a phase-based approach to online prediction of end-of-batch quality. Our framework integrates dynamic feature synchronization and dynnamic time warping (DTW) with Dynamic Partial Least Square (DPLS). The Singular Point concept [1] is applied to divide process trajectories into phases with similar dynamics. The challenge of unequal phase lengths is solved by using DTW to equalize the phase trajectories from different runs. A DPLS model [2] is subsequently built between each phase and the final quality variables. Using a well-known simulation, PenSim, we show that this phase-based DPLS (PDPLS) outperforms original DPLS in both monitoring as well as online prediction of end-of-batch quality. © 2006 Elsevier B.V. All rights reserved.
Source Title: Computer Aided Chemical Engineering
ISSN: 15707946
DOI: 10.1016/S1570-7946(06)80219-1
Appears in Collections:Staff Publications

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