Robust chemical process monitoring based on CDC‐MVT‐PCA eliminating outliers and optimally selecting principal component

Junping Huang; Shifu Yan; Xuefeng Yan

doi:10.1002/cjce.23437

Robust chemical process monitoring based on CDC‐MVT‐PCA eliminating outliers and optimally selecting principal component

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.23437 ◽

2019 ◽

Vol 97 (6) ◽

pp. 1848-1857 ◽

Cited By ~ 1

Author(s):

Junping Huang ◽

Shifu Yan ◽

Xuefeng Yan

Keyword(s):

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

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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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 ◽

Cited By ~ 31

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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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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Parallel quality-related dynamic principal component regression method for chemical process monitoring

Journal of Process Control ◽

10.1016/j.jprocont.2018.08.009 ◽

2019 ◽

Vol 73 ◽

pp. 33-45 ◽

Cited By ~ 15

Author(s):

Yang Tao ◽

Hongbo Shi ◽

Bing Song ◽

Shuai Tan

Keyword(s):

Process Monitoring ◽

Chemical Process ◽

Principal Component Regression ◽

Principal Component ◽

Regression Method ◽

Chemical Process Monitoring

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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 ◽

Cited By ~ 43

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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Chemical process monitoring and the detection of moisture ingress in composites

10.1117/12.776157 ◽

2008 ◽

Cited By ~ 1

Author(s):

R. Mahendran ◽

R. Chen ◽

L. Wang ◽

S. D. Pandita ◽

V. R. Machavaram ◽

...

Keyword(s):

Process Monitoring ◽

Chemical Process ◽

Chemical Process Monitoring

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Hidden Markov Model Based Adaptive Independent Component Analysis Approach for Complex Chemical Process Monitoring and Fault Detection

Industrial & Engineering Chemistry Research ◽

10.1021/ie300203u ◽

2012 ◽

Vol 51 (15) ◽

pp. 5506-5514 ◽

Cited By ~ 71

Author(s):

Mudassir M. Rashid ◽

Jie Yu

Keyword(s):

Fault Detection ◽

Independent Component Analysis ◽

Markov Model ◽

Hidden Markov Model ◽

Process Monitoring ◽

Chemical Process ◽

Hidden Markov ◽

Independent Component ◽

Complex Chemical ◽

Chemical Process Monitoring

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Compensation for temperature variation in ultrasonic chemical process monitoring

IEEE Ultrasonics Symposium, 2005. ◽

10.1109/ultsym.2005.1603054 ◽

2006 ◽

Cited By ~ 12

Author(s):

A.N. Kalashnikov ◽

V. Ivchenko ◽

R.E. Challis ◽

A.K. Holmes

Keyword(s):

Temperature Variation ◽

Process Monitoring ◽

Chemical Process ◽

Chemical Process Monitoring

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Assessment of Ultrasound Velocity Application for Chemical Process Monitoring

Elektronika ir Elektrotechnika ◽

10.5755/j01.eee.21.4.12783 ◽

2015 ◽

Vol 21 (4) ◽

Author(s):

Linas Svilainis ◽

Alberto Rodriguez ◽

Dobilas Liaukonis ◽

Andrius Chaziachmetovas

Keyword(s):

Process Monitoring ◽

Chemical Process ◽

Ultrasound Velocity ◽

Chemical Process Monitoring

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A Multi-SOM with Canonical Variate Analysis for Chemical Process Monitoring and Fault Diagnosis

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN ◽

10.1252/jcej.13we134 ◽

2014 ◽

Vol 47 (1) ◽

pp. 40-51 ◽

Cited By ~ 7

Author(s):

Yu Song ◽

Qingchao Jiang ◽

Xuefeng Yan ◽

Meijin Guo

Keyword(s):

Fault Diagnosis ◽

Process Monitoring ◽

Chemical Process ◽

Canonical Variate Analysis ◽

Canonical Variate ◽

Variate Analysis ◽

Chemical Process Monitoring

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