Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling-Reference-Cited by-同舟云学术

Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling

Published:2011-06-03 Issue:13 Volume:50 Page:8153-8162
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Hong Jeong Jin¹,Zhang Jie¹,Morris Julian¹

Affiliation:

1. Centre for Process Analytics and Control Technology, School of Chemical Engineering and Advance Materials, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K.

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie1025387

Reference32 articles.

1. Fault Detection and Diagnosis in Industrial Systems

2. Experiences with industrial applications of projection methods for multivariate statistical process control

3. Process performance monitoring using multivariate statistical process control

4. Statistical process monitoring: basics and beyond

5. A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor etch process

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