Multimode non-Gaussian process monitoring based on local entropy independent component analysis

Na Zhong; Xiaogang Deng

doi:10.1002/cjce.22651

Multimode non-Gaussian process monitoring based on local entropy independent component analysis

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.22651 ◽

2016 ◽

Vol 95 (2) ◽

pp. 319-330 ◽

Cited By ~ 14

Author(s):

Na Zhong ◽

Xiaogang Deng

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Local Entropy ◽

Non Gaussian

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Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring

Computers & Industrial Engineering ◽

10.1016/j.cie.2016.01.021 ◽

2016 ◽

Vol 94 ◽

pp. 188-200 ◽

Cited By ~ 8

Author(s):

Bei Wang ◽

Xuefeng Yan ◽

Qingchao Jiang

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Analysis Model ◽

Non Gaussian

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Joint Probability Density and Double-Weighted Independent Component Analysis for Multimode Non-Gaussian Process Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/ie504369x ◽

2014 ◽

Vol 53 (52) ◽

pp. 20168-20176 ◽

Cited By ~ 7

Author(s):

Qingchao Jiang ◽

Xuefeng Yan

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Probability Density ◽

Process Monitoring ◽

Joint Probability ◽

Component Analysis ◽

Independent Component ◽

Non Gaussian ◽

Joint Probability Density

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Ensemble modified independent component analysis for enhanced non-Gaussian process monitoring

Control Engineering Practice ◽

10.1016/j.conengprac.2016.09.014 ◽

2017 ◽

Vol 58 ◽

pp. 34-41 ◽

Cited By ~ 28

Author(s):

Chudong Tong ◽

Ting Lan ◽

Xuhua Shi

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Non Gaussian

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Independent component analysis-based non-Gaussian process monitoring with preselecting optimal components and support vector data description

International Journal of Production Research ◽

10.1080/00207543.2013.870362 ◽

2013 ◽

Vol 52 (11) ◽

pp. 3273-3286 ◽

Cited By ~ 17

Author(s):

Qingchao Jiang ◽

Xuefeng Yan ◽

Zhaomin Lv ◽

Meijin Guo

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Non Gaussian

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Angle-Based Multiblock Independent Component Analysis Method with a New Block Dissimilarity Statistic for Non-Gaussian Process Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.6b00093 ◽

2016 ◽

Vol 55 (17) ◽

pp. 4997-5005 ◽

Cited By ~ 14

Author(s):

Jian Huang ◽

Xuefeng Yan

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Analysis Method ◽

Independent Component Analysis Method ◽

Non Gaussian

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Gaussian and non-Gaussian Double Subspace Statistical Process Monitoring Based on Principal Component Analysis and Independent Component Analysis

Industrial & Engineering Chemistry Research ◽

10.1021/ie5025358 ◽

2015 ◽

Vol 54 (3) ◽

pp. 1015-1027 ◽

Cited By ~ 26

Author(s):

Jian Huang ◽

Xuefeng Yan

Keyword(s):

Principal Component Analysis ◽

Independent Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Component Analysis ◽

Independent Component ◽

Statistical Process ◽

Non Gaussian ◽

Statistical Process Monitoring

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An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2017.8217262 ◽

2017 ◽

Author(s):

Xin Peng ◽

Ying Tian ◽

Yang Tang ◽

Wenli Du ◽

Weimin Zhong ◽

...

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Performance Monitoring ◽

Component Analysis ◽

Independent Component ◽

Kernel Independent Component Analysis ◽

Online Performance Monitoring ◽

Non Gaussian

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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 ◽

Cited By ~ 18

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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Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis

IEEE Transactions on Automation Science and Engineering ◽

10.1109/tase.2016.2537373 ◽

2017 ◽

Vol 14 (2) ◽

pp. 1309-1319 ◽

Cited By ~ 21

Author(s):

Jinlin Zhu ◽

Zhiqiang Ge ◽

Zhihuan Song

Keyword(s):

Independent Component Analysis ◽

Process Monitoring ◽

Industrial Process ◽

Component Analysis ◽

Independent Component ◽

Non Gaussian

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A new fault detection method for non-Gaussian process based on robust independent component analysis

Process Safety and Environmental Protection ◽

10.1016/j.psep.2013.11.003 ◽

2014 ◽

Vol 92 (6) ◽

pp. 645-658 ◽

Cited By ~ 23

Author(s):

Lianfang Cai ◽

Xuemin Tian

Keyword(s):

Fault Detection ◽

Independent Component Analysis ◽

Gaussian Process ◽

Detection Method ◽

Component Analysis ◽

Independent Component ◽

Non Gaussian

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