A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II—Assessing Detection Speed

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.7b04911 ◽

2018 ◽

Vol 57 (15) ◽

pp. 5338-5350 ◽

Author(s):

Tiago J. Rato ◽

Ricardo Rendall ◽

Veronique Gomes ◽

Pedro M. Saraiva ◽

Marco S. Reis

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Monitoring Methods ◽

Batch Process Monitoring ◽

Systematic Methodology ◽

Detection Speed

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A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.5b04851 ◽

2016 ◽

Vol 55 (18) ◽

pp. 5342-5358 ◽

Author(s):

Tiago J. Rato ◽

Ricardo Rendall ◽

Veronique Gomes ◽

Swee-Teng Chin ◽

Leo H. Chiang ◽

...

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Monitoring Methods ◽

Batch Process Monitoring ◽

Systematic Methodology

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Batch process monitoring in the original measurement's space

Journal of Process Control ◽

10.1016/j.jprocont.2010.03.006 ◽

2010 ◽

Vol 20 (6) ◽

pp. 716-725 ◽

Author(s):

Carlos R. Alvarez ◽

Adriana Brandolin ◽

Mabel C. Sánchez

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Batch Process Monitoring

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Feature extraction for batch process monitoring and fault detection via simultaneous data scaling and training of tensor based models

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.613 ◽

2018 ◽

Vol 51 (24) ◽

pp. 433-440 ◽

Author(s):

Carlos A. Muñoz ◽

Dries Telen ◽

Philippe Nimmegeers ◽

Jan Van Impe

Keyword(s):

Feature Extraction ◽

Fault Detection ◽

Process Monitoring ◽

Batch Process ◽

Batch Process Monitoring ◽

Data Scaling ◽

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Wavelet functional principal component analysis for batch process monitoring

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2019.103897 ◽

2020 ◽

Vol 196 ◽

pp. 103897 ◽

Author(s):

Jingxiang Liu ◽

Junghui Chen ◽

Dan Wang

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Batch Process ◽

Component Analysis ◽

Functional Principal Component Analysis ◽

Batch Process Monitoring ◽

Functional Principal Component

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Tensor Global-Local Preserving Projections for Batch Process Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/ie403973w ◽

2014 ◽

Vol 53 (24) ◽

pp. 10166-10176 ◽

Author(s):

Lijia Luo ◽

Shiyi Bao ◽

Zengliang Gao ◽

Jingqi Yuan

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Batch Process Monitoring

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Nonlinear biological batch process monitoring and fault identification based on kernel fisher discriminant analysis

Process Biochemistry ◽

10.1016/j.procbio.2007.05.016 ◽

2007 ◽

Vol 42 (8) ◽

pp. 1200-1210 ◽

Author(s):

Xi Zhang ◽

Weiwu Yan ◽

Xu Zhao ◽

Huihe Shao

Keyword(s):

Discriminant Analysis ◽

Process Monitoring ◽

Batch Process ◽

Fault Identification ◽

Fisher Discriminant Analysis ◽

Fisher Discriminant ◽

Kernel Fisher Discriminant Analysis ◽

Batch Process Monitoring

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Derivation of function space analysis based PCA control charts for batch process monitoring

Chemical Engineering Science ◽

10.1016/s0009-2509(01)00004-5 ◽

2001 ◽

Vol 56 (10) ◽

pp. 3289-3304 ◽

Author(s):

Junghui Chen ◽

Jialin Liu

Keyword(s):

Function Space ◽

Process Monitoring ◽

Control Charts ◽

Batch Process ◽

Space Analysis ◽

Batch Process Monitoring

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Block Recursive MPCA and its application in batch process monitoring

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483) ◽

10.1109/icsmc.2003.1244234 ◽

2004 ◽

Author(s):

Lei Xie ◽

Ning He ◽

Shu-Qing Wang ◽

Jian-Ming Zhang

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Batch Process Monitoring

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Multiway kernel independent component analysis based on feature samples for batch process monitoring

Neurocomputing ◽

10.1016/j.neucom.2008.09.003 ◽

2009 ◽

Vol 72 (7-9) ◽

pp. 1584-1596 ◽

Author(s):

Xuemin Tian ◽

Xiaoling Zhang ◽

Xiaogang Deng ◽

Sheng Chen

Keyword(s):

Independent Component Analysis ◽

Process Monitoring ◽

Batch Process ◽

Component Analysis ◽

Independent Component ◽

Batch Process Monitoring ◽

Kernel Independent Component Analysis

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Batch process monitoring based on self-adaptive subspace support vector data description

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2017.09.009 ◽

2017 ◽

Vol 170 ◽

pp. 25-31 ◽

Author(s):

Zhaomin Lv ◽

Xuefeng Yan ◽

Qingchao Jiang

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Batch Process Monitoring ◽

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