Investigation of Dynamic Multivariate Chemical Process Monitoring

Chinese Journal of Chemical Engineering ◽

10.1016/s1004-9541(06)60116-x ◽

2006 ◽

Vol 14 (5) ◽

pp. 559-568 ◽

Author(s):

Lei XIE ◽

Jianming ZHANG ◽

Shuqing WANG

Keyword(s):

Process Monitoring ◽

Chemical Process ◽

Chemical Process Monitoring

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Chemical process monitoring and the detection of moisture ingress in composites

10.1117/12.776157 ◽

2008 ◽

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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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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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 ◽

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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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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Compensation for temperature variation in ultrasonic chemical process monitoring

IEEE Ultrasonics Symposium, 2005. ◽

10.1109/ultsym.2005.1603054 ◽

2006 ◽

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 ◽

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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A Novel Auto-regressive Dynamic Slow Feature Analysis Method for Dynamic chemical Process Monitoring

Chemical Engineering Science ◽

10.1016/j.ces.2021.117236 ◽

2021 ◽

pp. 117236

Author(s):

Yuemei Xu ◽

Mingxing Jia ◽

Zhizhong Mao

Keyword(s):

Process Monitoring ◽

Chemical Process ◽

Feature Analysis ◽

Analysis Method ◽

Slow Feature Analysis ◽

Auto Regressive ◽

Chemical Process Monitoring

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Key principal components with recursive local outlier factor for multimode chemical process monitoring

Journal of Process Control ◽

10.1016/j.jprocont.2016.09.006 ◽

2016 ◽

Vol 47 ◽

pp. 136-149 ◽

Author(s):

Bing Song ◽

Shuai Tan ◽

Hongbo Shi

Keyword(s):

Process Monitoring ◽

Principal Components ◽

Chemical Process ◽

Local Outlier Factor ◽

Chemical Process Monitoring ◽

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Non-Gaussian chemical process monitoring with adaptively weighted independent component analysis and its applications

Journal of Process Control ◽

10.1016/j.jprocont.2013.09.008 ◽

2013 ◽

Vol 23 (9) ◽

pp. 1320-1331 ◽

Author(s):

Qingchao Jiang ◽

Xuefeng Yan

Keyword(s):

Independent Component Analysis ◽

Process Monitoring ◽

Chemical Process ◽

Component Analysis ◽

Independent Component ◽

Non Gaussian ◽

Chemical Process Monitoring

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