A Principal Component Approach in Diagnosing poor Control loop performance
Principal component analysis, both linear and nonlinear, are used to identify and remove correlations among process variables as an aid to dimensionality reduction, visualization, and exploratory data analysis. While PCA ascertains only linear correlations between variables, NLPCA reveals both...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/3746/1/Microsoft_Word_-_ICCE_20.pdf http://www.iaeng.org/publication/WCECS2007/WCECS2007_pp194-199. http://eprints.utp.edu.my/3746/ |
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