Sparse PCA Support Exploration of Process Structures for Decentralized Fault Detection-Reference-Cited by-同舟云学术

Sparse PCA Support Exploration of Process Structures for Decentralized Fault Detection

Published:2021-05-25 Issue:22 Volume:60 Page:8183-8195
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Theisen Maximilian¹²,Dörgő Gyula²³^ORCID,Abonyi János³,Palazoglu Ahmet²^ORCID

Affiliation:

1. RWTH Aachen University, 52056 Aachen, Germany

2. Department of Chemical Engineering, University of California, Davis, 95616 California, United States

3. MTA-PE Lendület Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, H-8200 Veszprém, Hungary

Funder

Fulbright Association

Deutscher Akademischer Austauschdienst

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c00405

Reference27 articles.

1. Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method

2. A review of process fault detection and diagnosis

3. Process Knowledge Discovery Using Sparse Principal Component Analysis

4. Chiang, L. H.; Russell, E. L.; Braatz, R. D. Fault Detection and Diagnosis in Industrial Systems; Springer London: London, 2001; pp 35–55.

5. Statistical process monitoring and disturbance diagnosis in multivariable continuous processes

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