Kernel PCA Performance in Processes with Multiple Operation Modes
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Mauricio L Maestri
Kernel PCA, as a multivariate statistical process monitoring (MSPM) tool, is a powerful technique capable of coping with non linear relations between variables, thus outperforming classical linear techniques when non linearities are present in data. In real industrial chemical processes, multiple plant operating modes often lead to multiple nominal operation regions, and MSPM techniques that do not take account of this fact show increased false alarm and missing alarm rates. The existence of multiple operation modes is often more frequent than clearly expressed strong non linear relations between the variables involved. Non linear relations do exist, but the small variability allowed in key variables during normal plant operation prevents these non linear relations from being expressed in the data. In this work, a fault detection tool based on Kernel PCA is tested in such multiple operation modes environments, with final objective of implementing the tool in a real industrial installation. Robustness of the tool for coping with a certain percentage of outliers is particularly examined. The tool is applied to three case studies: (i) a two dimensional toy example, (ii) a realistic simulation usually used as a bench-mark example, known as the Tennessee Eastman Process, (iii) real data from a methanol plant. Hence, the feasibility of implementing fault detection tools based on this technique in the field of chemical industrial processes is discussed.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Editorial: Special Issue of 8th World Congress of Chemical Engineering (WCCE 8) Symposium on Process Design
- Reactive Dividing-Wall Columns - Defying Equilibrium Restrictions
- Fractal Scaling in Crude Oil Price Evolution via Time Series Analysis of Historical Data
- Effect of Sound Wave Irradiation on Methane Conversion in DC Pulse Discharge Plasma
- The Production of Polyhydroxyalkanoates Using an Oscillatory Baffled Bioreactor
- Simultaneous Coke Reduction with Improved Syngas Production during Propane Steam Reforming using Forced CO2 Cycling
- Kernel PCA Performance in Processes with Multiple Operation Modes
- A New Kinetic Model for 4-Chlorophenol Adsorption on Expanded Clay
- Uniformly Bounded Error Estimator for Bioprocess with Unstructured Cell Growth Models
- Mathematical Modeling of Drug Release from Spherical Drug Particles: Analysis of the Effect of Absorption Rate on Drug Release Rate
- Analysis on a Counter-Current Flow Hemodialyzer
- Mathematical Model of a Falling Film Reactor for Methyl Ester Sulfonation
- Oxidative Coupling of Propane with a Two-Layered Catalyst Bed Reactor
- Interval Based MINLP Superstructure Synthesis of Multi-Period Mass Exchanger Networks
- Modeling Fluid Separation Processes Using a Complementary Approach
- Compartmental Modeling of an Industrial Column
- Recrystallization of Caffeine Using Supercritical Carbon Dioxide as Antisolvent
- Flow Characteristics in an Airlift Membrane Bioreactor
- Design and Control of Integrated Styrene-Aniline Production Plant
