Journal
CHEMICAL ENGINEERING SCIENCE
Volume 65, Issue 22, Pages 5961-5975Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2010.08.024
Keywords
Multimode; Multiset PCA (MsPCA); Transition identification; Cross-mode and between-mode subspace separation; Mode-immune common subspace; Mode-subject specific subspace
Categories
Funding
- China National 973 program [2009CB320603, 2009CB320601]
- Hong Kong Research Grants Council [613107]
- National Natural Science Foundation of China [60774068]
Ask authors/readers for more resources
In the present work, an improved statistical analysis, modeling and monitoring strategy is proposed for multimode processes with between-mode transitions. The subject of analysis is multi-source measurement data, with each source of data corresponding to one operation mode. The basic assumption is that the underlying correlations among the different modes are similar to a certain extent and a multimode common community can thus be enclosed by some common bases immune to the mode changes. By making an adequate projection of measurement space, the mode-common subspace is separated and can be represented by a robust statistical model. The remaining mode-specific subspace would be more specific to different operation modes. Moreover, a between-mode transition identification algorithm is designed, which can distinguish the normal transition behaviors from those abnormal disturbances. The proposed method provides a detailed insight into the inherent nature of multimode processes from both inter-mode and inner-mode viewpoints. More process information is captured which enhances one's understanding of the multimode problem. Its feasibility and performance are illustrated with a practical case. (C) 2010 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available