Multivariate Control for Three Variables of an Industrial Roll-Type Electrostatic Separator

Integration of multivariate control charts and the decision tree classifier to determine the faults of the quality characteristic(s) of a melt spinning machine used in polypropylene fiber manufacturing. Part II: The application of multivariate control charts and the decision tree classifier to determine the faults of quality characteristic(s)

“…Senouci et al. 6 aimed to extend the use of these charts from two to three variables, in order to improve the statistical control of an industrial roll-type electrostatic separator designed for the recycling industry. In the case of electrostatic separation processes, the use of Hotelling's T 2 chart for three variables would allow controlling on a single graph the correlation between the masses accumulated in the three boxes of the product collector.…”