Nonlinear Process Monitoring Using Supervised Locally Linear Embedding Projection-Reference-Cited by-同舟云学术

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Nonlinear Process Monitoring Using Supervised Locally Linear Embedding Projection

Published:2013-10-02 Issue:13 Volume:53 Page:5205-5216
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

McClure Kenneth S.¹²,Gopaluni R. Bhushan¹,Chmelyk Terrance²,Marshman Devin²,Shah Sirish L.³

Affiliation:

1. Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada

2. Spartan Controls, Burnaby, British Columbia V5A 4X5, Canada

3. Department of Chemical Engineering, University of Alberta, Edmonton, Alberta P6G 2M7, Canada

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie401556r

Reference31 articles.

1. A review of process fault detection and diagnosis

2. A review of process fault detection and diagnosis

3. Data-based fault detection and isolation using feedback control: Output feedback and optimality

4. Multivariate statistical monitoring of process operating performance

5. Evaluation of PCA methods with improved fault isolation capabilities on a paper machine simulator

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