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OSCILLATION DETECTION IN MULTIVARIABLE SYSTEMS USING PRINCIPAL COMPONENT ANALYSIS

H., Zabiri and M. , Ramasamy and D. D. , Doanh and N. M, Ramli and S. , Yusup and N. Y. , Harun (2007) OSCILLATION DETECTION IN MULTIVARIABLE SYSTEMS USING PRINCIPAL COMPONENT ANALYSIS. In: SOMChE 2007, 12-14 December, 2007, UPM.

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Abstract

Oscillations constitute a common form of plant-wide disturbances. The presence of oscillations in control loops results in increased process variability which is undesirable from quality point of view. In this paper, a simple visualization tool is developed to detect oscillations using Principal Component Analysis (PCA). The advantage of PCA in dimensionality reduction enables clear visualization of the process performance while taking into account all variables in the loop. Simulation results using an industrial Fluidized Catalytic Cracking Unit (FCCU) show successful implementation of the PCA method in detecting oscillations in the loop due to control valve nonlinearity.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords: Oscillation, multivariable systems, principal component analysis
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:3756
Deposited By: Haslinda Zabiri
Deposited On:28 Dec 2010 07:05
Last Modified:19 Jan 2017 08:27

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