| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 711308 | IFAC Proceedings Volumes | 2008 | 5 Pages |
Abstract
The paper offers an approach to soft sensors design for chemical and oil refining processes. The approach proposed is based on virtual models and associative search techniques. Takagi-Sugeno fuzzy model is applied in combination with production knowledgebase to compensate for the lack of lab data.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Natalia Bakhtadze, Evgeny M. Maximov, Ravil T. Valiakhmetov,