Title :
Process data chemometrics
Author :
Piovoso, Michael J. ; Kosanovich, Karlene A. ; Yuk, James P.
Author_Institution :
E.I. Du Pont de Nemours & Co., Newark, DE, USA
fDate :
4/1/1992 12:00:00 AM
Abstract :
A data analysis technique successfully applied in spectroscopy to reduce a large quantity of data into meaningful information, called chemometrics, is discussed. Data when properly interpreted by statistical data analysis tools and fundamental and heuristic models yield meaningful information. The use of chemometrics as a multivariate analyzer to provide a composite measurement of the state of a chemical process operation is examined. An application of this analyzer on a Du Pont plant is presented, and two measures to detect and identify important process shifts are introduced
Keywords :
chemical technology; chemical variables control; chemical variables measurement; data analysis; statistical analysis; statistical process control; Du Pont plant; chemical process; composite measurement; data analysis; heuristic models; multivariate analyzer; process data chemometrics; process shifts; spectroscopy; Calibration; Chemical analysis; Chemical processes; Data analysis; Error correction; Predictive models; Principal component analysis; Sensor systems; Spectroscopy; Vectors;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
