Multivariate data analysis applied to low-density polyethylene reactors
- Authors
- Bert Skagerberg, John F. MacGregor and Costas Kiparissides
- Published
- 1992
- DOI
- 10.1016/0169-7439(92)80117-M
- Citation
- Skagerberg et al.: "Multivariate data analysis applied to low-density polyethylene reactors", Chemometrics and Intelligent Laboratory Systems, 14, 341-356, 1992.
- Abstract
- In this paper we discuss how partial least squares regression (PLS) can be applied to the analysis of complex process data. PLS models are here used to: (i) accomplish a better understanding of the underlying relations of the process; (ii) monitor the performance of the process by means of multivariate control charts; and (iii) build predictive models for inferential control. The strategies for applying PLS to process data are described in detail and illustrated by an example in which low-density polyethylene production is simulated.
- Tags
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