Title :
Selecting secondary measurements for soft sensor modeling using rough sets theory
Author :
Jianxu, Luo ; Huihe, Shao
Author_Institution :
Inst. of Autom., Shanghai Jiao Tong Univ., China
Abstract :
This paper introduces the rough sets theory for secondary measurement selection of soft sensor modeling. Using the rough sets theory, a smaller set of secondary measurements containing the most information of the primary variable can be found. This method has been implemented at Shanghai Refinery for the soft sensor to estimate the propylene composition, and a good result is obtained.
Keywords :
distillation; oil refining; parameter estimation; process control; quality control; rough set theory; Shanghai Refinery; distillation column; oil refinery; parameter estimation; propylene composition; quality control; rough sets theory; secondary measurements; soft sensor modeling; Automation; Chemical analysis; Chemical sensors; Delay; Distillation equipment; Information systems; Instruments; Quality control; Rough sets; Set theory;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022142
