H., Zabiri and A., Maulud and M., Ramasamy and T.D.T., Thao (2008) VALVE STICTION DETECTION USING NLPCA. In: Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC , 11 February 2008 through 13 February 2008, Innsbruck, Austria.

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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), which is widely known for its capability in unravelling nonlinear correlations in process data, is extended to investigate control valve stiction problems. Results from simulated case studies show that NLPCA is a promising tool for valve stiction diagnosis.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Nonlinear principal component analysis; Stiction detection
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:3739
Deposited By: Haslinda Zabiri
Deposited On:28 Dec 2010 07:03
Last Modified:19 Jan 2017 08:26

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