Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring-Reference-Cited by-同舟云学术

Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring

Published:2009-11-16 Issue:1 Volume:49 Page:252-259
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Elshenawy Lamiaa M.¹,Yin Shen¹,Naik Amol S.¹,Ding Steven X.¹

Affiliation:

1. Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, University of Minufiya, 32952 Menouf, Egypt, and Institute of Automatic Control and Complex Systems, University of Duisburg-Essen, 47057 Duisburg, Germany

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie900720w

Reference31 articles.

1. LIII. On lines and planes of closest fit to systems of points in space

2. Analysis of a complex of statistical variables into principal components.

3. Fault Detection and Diagnosis in Industrial Systems

4. Eigenspace updating for non-stationary process and its application to face recognition

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