| Autor: |
Gao Yan-chen, Song Kai, Wang Haiqing |
| Rok vydání: |
2004 |
| Předmět: |
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| Zdroj: |
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788). |
| DOI: |
10.1109/wcica.2004.1343277 |
| Popis: |
Filtered by the orthogonal signal correction technique, the selected process measurements projected by NN-PLS algorithm to build the soft component analyzer. Thus a new approach proposed to solve the delayed feedback quality signal of the Tennessee Eastman process by building this soft analyzer. As a result the quality indices can be obtained online in time with enough precision. The simulation results confirm that the soft-analyzer model has satisfying robust and predictive performance and more importantly this soft-analyzer could be as the basis of other advanced process control and on-line monitoring techniques. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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