Multiscale Nonlinear Principal Component Analysis (NLPCA) and Its Application for Chemical Process Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/ie0493107 ◽

2005 ◽

Vol 44 (10) ◽

pp. 3585-3593 ◽

Author(s):

Zhiqiang Geng ◽

Qunxiong Zhu

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

Component Analysis ◽

Nonlinear Principal Component Analysis ◽

Chemical Process Monitoring

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Nonlinear chemical process monitoring using decentralized kernel principal component analysis and Bayesian inference

2017 11th Asian Control Conference (ASCC) ◽

10.1109/ascc.2017.8287393 ◽

2017 ◽

Author(s):

Wentao Cang ◽

Yujia Fu ◽

Li Xie ◽

Hongfeng Tao ◽

Huizhong Yang

Keyword(s):

Principal Component Analysis ◽

Bayesian Inference ◽

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Chemical Process Monitoring

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Optimized principal component analysis and multi-state Bayesian network integrated method for chemical process monitoring and variable state prediction

Chemical Engineering Journal ◽

10.1016/j.cej.2021.132617 ◽

2021 ◽

pp. 132617

Author(s):

Nan Liu ◽

Ji Wang ◽

Suli Sun ◽

Chuankun Li ◽

Wende Tian

Keyword(s):

Principal Component Analysis ◽

Bayesian Network ◽

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

Component Analysis ◽

Integrated Method ◽

State Prediction ◽

Chemical Process Monitoring

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Fuzzy Based Nonlinear Principal Component Analysis for Process Monitoring

International Journal of Control Theory and Computer Modeling ◽

10.5121/ijctcm.2012.2301 ◽

2012 ◽

Vol 2 (3) ◽

pp. 1-8

Author(s):

Ahmad Derakhshandeh

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Nonlinear Principal Component Analysis

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Multivariate statistical process monitoring using robust nonlinear principal component analysis

Tsinghua Science & Technology ◽

10.1016/s1007-0214(05)70122-x ◽

2005 ◽

Vol 10 (5) ◽

pp. 582-586 ◽

Author(s):

Zhao Shijian ◽

Xu Yongmao

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Multivariate Statistical ◽

Statistical Process ◽

Nonlinear Principal Component Analysis ◽

Multivariate Statistical Process Monitoring ◽

Statistical Process Monitoring

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Process monitoring for chemical process based on semi-supervised principal component analysis

2013 25th Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2013.6561704 ◽

2013 ◽

Author(s):

Feng Jian ◽

Wang Jian ◽

Han Zhiyan

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

Component Analysis

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Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis

Advances in Neural Networks – ISNN 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-28647-9_131 ◽

2004 ◽

pp. 798-803 ◽

Author(s):

Fei Liu ◽

Zhonggai Zhao

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Chemical Separation ◽

Principal Component ◽

Component Analysis ◽

Separation Process ◽

Nonlinear Principal Component Analysis

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Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2013.06.013 ◽

2013 ◽

Vol 127 ◽

pp. 121-131 ◽

Author(s):

Qingchao Jiang ◽

Xuefeng Yan

Keyword(s):

Principal Component Analysis ◽

Density Estimation ◽

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

Kernel Principal Component Analysis ◽

Moving Window ◽

Probability Density Estimation ◽

Weighted Kernel ◽

Chemical Process Monitoring

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Non-linear process monitoring using kernel principal component analysis: A review of the basic and modified techniques with industrial applications

Brazilian Journal of Chemical Engineering ◽

10.1007/s43153-021-00125-2 ◽

2021 ◽

Author(s):

Ajaya Kumar Pani

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Industrial Applications ◽

Linear Process ◽

Kernel Principal Component Analysis ◽

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Online reduced kernel principal component analysis for process monitoring

Journal of Process Control ◽

10.1016/j.jprocont.2017.10.010 ◽

2018 ◽

Vol 61 ◽

pp. 1-11 ◽

Author(s):

Radhia Fezai ◽

Majdi Mansouri ◽

Okba Taouali ◽

Mohamed Faouzi Harkat ◽

Nasreddine Bouguila

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis

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Fault Detection Behavior and Performance Analysis of Principal Component Analysis Based Process Monitoring Methods

Industrial & Engineering Chemistry Research ◽

10.1021/ie0007567 ◽

2002 ◽

Vol 41 (10) ◽

pp. 2455-2464 ◽

Author(s):

Haiqing Wang ◽

Zhihuan Song ◽

Ping Li

Keyword(s):

Principal Component Analysis ◽

Performance Analysis ◽

Fault Detection ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Monitoring Methods ◽

And Performance

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