%A H. Zabiri
%A M. Ramasamy
%A I.S.Y. Teh
%T Quantification analysis for NLPCA-based stiction diagnostic tool
%C Singapore
%P 468-472
%X A significant number of control loops in process plants perform poorly due to control valve stiction. Stiction in control valves is the most common and long standing problem in industry, resulting in oscillations in process variables which subsequently lowers product quality and productivity. Developing a method to detect valve stiction in the early phase is imperative to avoid major disruptions to the plant operations. In this paper, nonlinear principal component analysis (NLPCA)-based stiction diagnostic tool is presented. Results from simulated case studies show that with proper quantification analysis, NLPCA shows a very promising capability for stiction diagnosis. © 2008 IEEE.
%K Control loops; Control valves; Diagnostic tools; In controls; In process; Nonlinear principal component analysis; Plant operations; Product qualities; Quantification analysis; Standing problems, Computer control; Diagnostic products; Safety valves; Stiction, Principal component analysis
%J Proceedings - International Conference on Advanced Computer Control, ICACC 2009
%L scholars734
%O cited By 2; Conference of International Conference on Advanced Computer Control, ICACC 2009 ; Conference Date: 22 January 2009 Through 24 January 2009; Conference Code:75859
%R 10.1109/ICACC.2009.132
%D 2009