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Quality analysis and prediction has been of great significance to ensure consistent and high product quality for chemical engineering processes. However, cumulative quality effect which is of typical nature for batch processes has rarely been analyzed by previous methods. With time development, the process variation will determine the final product quality in a cumulative manner. In this paper, considering...
In order to improve the discriminant power, a new discriminant analysis algorithm is proposed based on Fisher's linear discriminant, called variant fisher discriminant analysis with orthogonal discriminant components (VFDAODC). The basic idea of the proposed VFDAODC is to overcome the problems of the conventional fisher discriminant analysis algorithm. First, a two-step feature extraction procedure...
The conventional independent component regression (ICR), as an exclusive two-step implementation algorithm, has the risk similar to principal component regression (PCR). That is, the extracted independent components (ICs) are not guaranteed to be informative with respect to quality prediction and interpretation. Moreover, it inherits some inconveniences of conventional ICA. In this paper, first, the...
Owing to the natures of batch processes, such as high nonlinearity, time-varying, and limited batch time duration, their control remains as a challenge to modern industries. This paper takes a typical batch process, injection molding, as an example to present a set of control schemes for batch processes. Advanced control algorithms such as adaptive control and model predictive control have been adopted...
Recently, the use of spectroscopic techniques for online process monitoring has been introduced, which are deemed to be able to provide a rich source of chemical information about operation conditions within a process system. This paper presents an improved statistical analysis and modeling strategy using spectra data for online fault detection and diagnosis of batch processes. The general principle...
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