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|Title:||Online prediction of end-of-batch product quality using phase-specific PLS models||Authors:||Doan, X.-T.
|Keywords:||dynamic partial least square (DPLS)
dynamic time warping (DTW)
online quality prediction
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. https://doi.org/10.1016/S1570-7946(06)80219-1||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  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  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||URI:||http://scholarbank.nus.edu.sg/handle/10635/64331||ISSN:||15707946||DOI:||10.1016/S1570-7946(06)80219-1|
|Appears in Collections:||Staff Publications|
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