Abstract
Principal component analysis (PCA) is based on and suitable to analysis of stationary processes. When it is applied to dynamic process monitoring, the moving time window approach is used to construct the data matrix to be analyzed. However, the length of the time window and the moving width between time widows are often empirically tested and selected. In this paper, a criterion for determining the time window length is proposed for dynamic process monitoring. A new algorithm of dynamic monitoring is then presented. The proposed selection criterion is used in the new algorithm. Finally, the proposed approach is successfully applied to a two-input two-output process and Tennessee Eastman process for dynamic monitoring. © 2003 Elsevier B.V. All rights reserved.
| Original language | English |
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| Title of host publication | Proceedings of the 36th European Symposium of the Working Party on Computer Aided Process Engineering (ESCAPE), 1-4 June 2003, Lappeenranta, Finland |
| Editors | Andrzej KRASLAWSKI, Ilkka TURUNEN |
| Publisher | Elsevier |
| Pages | 461-466 |
| Number of pages | 6 |
| ISBN (Print) | 9780444513687 |
| DOIs | |
| Publication status | Published - Jun 2003 |
| Externally published | Yes |
| Event | 13th European Symposium on Computer Aided Process Engineering (ESCAPE-13) - Lappeenranta, Finland Duration: 1 Jun 2003 → 4 Jun 2003 |
Publication series
| Name | Computer Aided Chemical Engineering |
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| Publisher | Elsevier |
| Volume | 14 |
| ISSN (Print) | 1570-7946 |
Conference
| Conference | 13th European Symposium on Computer Aided Process Engineering (ESCAPE-13) |
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| Country/Territory | Finland |
| City | Lappeenranta |
| Period | 1/06/03 → 4/06/03 |
Funding
Financial support from the National Natural Science Foundation of China (No. 29976015), the China Excellent Young Scientist Fund, China Major Basic Research Development Program (G20000263) are gratefully acknowledged.