Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1570-7946(06)80219-1
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
Source: 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 [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
URI: http://scholarbank.nus.edu.sg/handle/10635/64331
ISSN: 15707946
DOI: 10.1016/S1570-7946(06)80219-1
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

22
checked on Dec 15, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.