Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis-Reference-Cited by-同舟云学术

Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis

Published:2010-03-04 Issue:17 Volume:49 Page:7858-7869
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wang Jin¹,He Q. Peter¹

Affiliation:

1. Department of Chemical Engineering, Auburn University, Auburn, Alabama 36849, and Department of Chemical Engineering, Tuskegee University, Tuskegee, Alabama 36088

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie901911p

Reference32 articles.

1. Monitoring batch processes using multiway principal component analysis

2. Disturbance detection and isolation by dynamic principal component analysis

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

4. Statistical process monitoring: basics and beyond

5. Fault detection and diagnosis based on modified independent component analysis

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