Independent Component Analysis Mixture Model Based Dissimilarity Method for Performance Monitoring of Non-Gaussian Dynamic Processes with Shifting Operating Conditions-Reference-Cited by-同舟云学术

Independent Component Analysis Mixture Model Based Dissimilarity Method for Performance Monitoring of Non-Gaussian Dynamic Processes with Shifting Operating Conditions

Published:2013-08-05 Issue:13 Volume:53 Page:5055-5066
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Chen Jingyan¹,Yu Jie¹

Affiliation:

1. Department of Chemical Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4L7

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie401027b

Reference46 articles.

1. Monitoring batch processes using multiway principal component analysis

2. A review of process fault detection and diagnosis

3. An industrial perspective on implementing on-line applications of multivariate statistics

4. Recent developments in multivariable controller performance monitoring

5. Monitoring a complex refining process using multivariate statistics

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