Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling

Industrial & Engineering Chemistry Research ◽

10.1021/ie1025387 ◽

2011 ◽

Vol 50 (13) ◽

pp. 8153-8162 ◽

Author(s):

Jeong Jin Hong ◽

Jie Zhang ◽

Julian Morris

Keyword(s):

Principal Component Analysis ◽

Fault Localization ◽

Principal Component ◽

Component Analysis ◽

Batch Processes ◽

Principal Component Analysis Modeling

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Online Monitoring for Uneven Length Batch Processes using Function Space Principal Component Analysis

IFAC Proceedings Volumes ◽

10.3182/20131216-3-in-2044.00058 ◽

2013 ◽

Vol 46 (31) ◽

pp. 66-71 ◽

Author(s):

Arora Ela ◽

P. Detroja Ketan

Keyword(s):

Principal Component Analysis ◽

Function Space ◽

Online Monitoring ◽

Principal Component ◽

Component Analysis ◽

Batch Processes

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Fault localization using principal component analysis based on a new contribution to the squared prediction error

2008 16th Mediterranean Conference on Control and Automation ◽

10.1109/med.2008.4602093 ◽

2008 ◽

Author(s):

Baligh Mnassri ◽

El Mostafa El Adel ◽

Mustapha Ouladsine

Keyword(s):

Principal Component Analysis ◽

Prediction Error ◽

Fault Localization ◽

Principal Component ◽

Component Analysis ◽

Squared Prediction Error

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Robust Recursive Principal Component Analysis Modeling for Adaptive Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/ie050850t ◽

2006 ◽

Vol 45 (2) ◽

pp. 696-703 ◽

Author(s):

Hyung Dae Jin ◽

Young-Hak Lee ◽

Gibaek Lee ◽

Chonghun Han

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Adaptive Monitoring ◽

Principal Component Analysis Modeling

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Nonlinear Fault Detection of Batch Processes Using Functional Local Kernel Principal Component Analysis

IEEE Access ◽

10.1109/access.2020.3004564 ◽

2020 ◽

Vol 8 ◽

pp. 117513-117527

Author(s):

Fei He ◽

Zhiyan Zhang

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Batch Processes ◽

Kernel Principal Component Analysis

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Classification of batch processes in automotive metallic coatings using principal component analysis similarity factors from reflectance spectra

Progress in Organic Coatings ◽

10.1016/j.porgcoat.2015.06.020 ◽

2015 ◽

Vol 88 ◽

pp. 75-83 ◽

Author(s):

José M. Medina ◽

José A. Díaz

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Reflectance Spectra ◽

Batch Processes ◽

Metallic Coatings

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Fault detection of batch processes using multiway kernel principal component analysis

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2004.02.036 ◽

2004 ◽

Vol 28 (9) ◽

pp. 1837-1847 ◽

Author(s):

Jong-Min Lee ◽

ChangKyoo Yoo ◽

In-Beum Lee

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Batch Processes ◽

Kernel Principal Component Analysis

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On-line monitoring of batch processes using generalized additive kernel principal component analysis

Journal of Process Control ◽

10.1016/j.jprocont.2015.02.007 ◽

2015 ◽

Vol 28 ◽

pp. 56-72 ◽

Author(s):

Ma Yao ◽

Huangang Wang

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Batch Processes ◽

Kernel Principal Component Analysis ◽

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Global-local based wavelet functional principal component analysis for fault detection and diagnosis in batch processes

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2021.104279 ◽

2021 ◽

Vol 212 ◽

pp. 104279

Author(s):

Jingxiang Liu ◽

Dan Wang ◽

Junghui Chen

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Fault Detection And Diagnosis ◽

Functional Principal Component Analysis ◽

Batch Processes ◽

Functional Principal Component ◽

Detection And Diagnosis

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Online monitoring of batch processes using multi-phase principal component analysis

Journal of Process Control ◽

10.1016/j.jprocont.2006.07.005 ◽

2006 ◽

Vol 16 (10) ◽

pp. 1021-1035 ◽

Author(s):

José Camacho ◽

Jesús Picó

Keyword(s):

Principal Component Analysis ◽

Online Monitoring ◽

Principal Component ◽

Component Analysis ◽

Batch Processes ◽

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Fault detection in batch processes through variable selection integrated to multiway principal component analysis

Journal of Process Control ◽

10.1016/j.jprocont.2019.06.002 ◽

2019 ◽

Vol 80 ◽

pp. 223-234 ◽

Author(s):

Fernanda Araujo Pimentel Peres ◽

Thiago Neves Peres ◽

Flávio Sanson Fogliatto ◽

Michel Jose Anzanello

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Variable Selection ◽

Principal Component ◽

Component Analysis ◽

Batch Processes ◽

Multiway Principal Component Analysis

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