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...

Full description

Saved in:
Bibliographic Details
Main Authors: H., Zabiri, T.D.T. , Thao
Format: Conference or Workshop Item
Published: 2007
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/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items