Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
688286 | Chemical Engineering and Processing: Process Intensification | 2007 | 9 Pages |
Abstract
In this article, recent practical experiences of soft sensor projects based on data reconciliation in the process industry are reported. The discussed items comprise the steady-state detection, the gross error detection, the initial value generation, and remarks on the implementation of this method.Two practical examples are presented from the area of process industry. The first is a representative soft sensor application to provide consistent measurements for data monitoring. The second is a soft sensor application which uses a rigorous model to estimate concentrations in a distillation column.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Process Chemistry and Technology
Authors
Markus Schladt, Bei Hu,