PROCESS DATA CHEMOMETRICS

Data rich but information poor is an excellent way to characterize most chemical processes today. The lack of data analysis tools and adequate fundamental and experimental models makes it difficult to pursure product quality and improved understanding of a process. One data analysis technique successfully applied in spectroscopy to reduce a large quantity of data into meaningful information is Chemometrics. Data when properly interpreted by statistical data analysis tools and fundamental and heuristic models yield meaningful information. In this paper we discuss the use of Chemometrics as a multivariate analyzer to provide a composite measurement of the state of a chemical process operation. An application of this analyzer on a Du Pont Plant is presented, and we introduce two measures to detect and identify important process shifts.