Soft Sensor Development Based on Quality-Relevant Slow Feature Analysis and Bayesian Regression with Application to Propylene Polymerization

Table 1

Process variables in the propylene polymerization process used for modeling.

No.	Measured variables	No.	Measured variables
1	Temperature in the first CSTR	6	Flow rate of feedstock in the first FBR
2	Pressure in the first CSTR	7	Concentration of hydrogen in the first CSTR
3	Liquid level in the first CSTR	8	Flow rate of the main catalyst
4	Flow rate of propylene in the first CSTR	9	Flow rate of the second catalyst
5	Flow rate of feedstock in the second CSTR