A Soft Sensor Model Based on Rough Set Theory and Its Application in Estimation of Oxygen Concentration.

At present, much more research in the field of soft sensor modeling is concerned. In the process of establishing soft sensor models, how to select the secondary variables is still an unresolved question. In this paper, rough set theory is used to select the secondary variables from the initial sample data. This method is used to build the soft sensor model to estimate the oxygen concentration in a regeneration tower and the good result is obtained. [ABSTRACT FROM AUTHOR]