Title :
Towards active statistical process control
Author :
Ibrahim, Kamarul A. ; Tham, Ming T.
Author_Institution :
Dept. of Chem. & Process Eng., Newcastle upon Tyne Univ., UK
Abstract :
Statistical process control (SPC) research has focused on charting techniques which are employed for process monitoring. Unfortunately, little attention has been paid to the importance of bringing the process in control automatically via these charting techniques. Drawing upon concepts from automatic process control (APC) it is possible to devise schemes whereby the process is monitored and automatically controlled via SPC procedures. This paper describes the formulation of such a method, where partial correlation analysis is used to determine the variables which have to be monitored and manipulated as well as the corresponding control laws. The capabilities of the proposed SPC methodology are demonstrated by application to a simulated reaction process
Keywords :
computerised monitoring; process control; statistical process control; SPC procedures; active statistical process control; automatic process control; charting techniques; process monitoring; simulated reaction process; Automatic control; Automatic frequency control; Chemical engineering; Chemical processes; Computerized monitoring; Control charts; Engineering drawings; Gaussian distribution; Manufacturing processes; Process control;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.531367