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Nonlinear process monitoring using kernel principal component analysis
Abstract In this paper, a new nonlinear process monitoring technique based on kernel principal component analysis (KPCA) is developed. KPCA has emerged in recent years as a promising method forExpand
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Statistical process monitoring with independent component analysis
In this paper we propose a new statistical method for process monitoring that uses independent component analysis (ICA). ICA is a recently developed method in which the goal is to decompose observedExpand
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Statistical monitoring of dynamic processes based on dynamic independent component analysis
Most multivariate statistical monitoring methods based on principal component analysis (PCA) assume implicitly that the observations at one time are statistically independent of observations at pastExpand
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Fault detection of batch processes using multiway kernel principal component analysis
Batch processes are very important in most industries and are used to produce high-quality materials, which causes their monitoring and control to emerge as essential techniques. Several multivariateExpand
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Nonlinear PLS modeling with fuzzy inference system
Abstract We propose a new nonlinear partial least squares (NLPLS) algorithm that embeds the Takagi–Sugeno–Kang (TSK) fuzzy model into the regression framework of the partial least squares (PLS)Expand
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Synthesis, characterization and application of 1-butyl-3-methylimidazolium tetrafluoroborate for extractive desulfurization of liquid fuel
1-Butyl-3-methylimidazolium thiocyanate [BMIM]SCN has been presented on extractive desulfurization of liquid fuel. The FTIR, 1H-NMR, and C-NMR have been discussed for the molecular confirmation ofExpand
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Neutralization and utilization of red mud for its better waste management
In the Bayer process of extraction of alumina from bauxite, the insoluble product generated after bauxite digestion with sodium hydroxide at elevated temperature and pressure is known as ‗red mud‘ orExpand
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On-line monitoring of batch processes using multiway independent component analysis
Batch processes play an important role in the production of low-volume, high-value products such as polymers, pharmaceuticals, and biochemical products. Multiway principal component analysis (MPCA),Expand
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Sequestration of carbon dioxide in red mud
ABSTRACT In Bayer process of obtaining alumina from bauxite, the insoluble product generated after bauxite digestion with sodium hydroxide at elevated temperature and pressure is known as “red mud”Expand
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Predictive monitoring and diagnosis of periodic air pollution in a subway station.
The purpose of this study was to develop a predictive monitoring and diagnosis system for the air pollutants in a subway system using a lifting technique with a multiway principal component analysisExpand
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