Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10279779 | Minerals Engineering | 2005 | 9 Pages |
Abstract
A multivariate statistical method, partial least squares regression, is applied to the sensor data producing a model that can predict the change in slurry flow resistance. The output from the model also shows good properties to be used as a process-monitoring tool. The predictive capability of the model is believed to be of such quality that it can be used for process control.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Kent T. Tano, Bertil I. PÃ¥lsson, Anders Sellgren,