An approach for multimode dynamic process monitoring using Bayesian inference

IFAC Proceedings Volumes ◽

10.3182/20120829-3-mx-2028.00123 ◽

2012 ◽

Vol 45 (20) ◽

pp. 1011-1016 ◽

Author(s):

Adel Haghani ◽

Steven X. Ding ◽

Haiyang Hao ◽

Shen Yin ◽

Torsten Jeinsch

Keyword(s):

Bayesian Inference ◽

Process Monitoring ◽

Dynamic Process

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Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2019.2932682 ◽

2020 ◽

Vol 28 (5) ◽

pp. 2037-2044 ◽

Author(s):

Kai Zhong ◽

Min Han ◽

Tie Qiu ◽

Bing Han ◽

Yen-Wei Chen

Keyword(s):

Bayesian Inference ◽

Variable Selection ◽

Process Monitoring ◽

Dynamic Process ◽

Minimal Redundancy ◽

Maximal Relevance

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Bayesian inference based reorganized multiple characteristics subspaces fusion strategy for dynamic process monitoring

Control Engineering Practice ◽

10.1016/j.conengprac.2021.104816 ◽

2021 ◽

Vol 112 ◽

pp. 104816

Author(s):

Kai Zhong ◽

Xiaofei Sun ◽

Min Han

Keyword(s):

Bayesian Inference ◽

Process Monitoring ◽

Dynamic Process ◽

Fusion Strategy ◽

Multiple Characteristics

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Decentralized dynamic process monitoring based on manifold regularized slow feature analysis

Journal of Process Control ◽

10.1016/j.jprocont.2020.12.006 ◽

2021 ◽

Vol 98 ◽

pp. 79-91

Author(s):

Xue Xu ◽

Jinliang Ding

Keyword(s):

Process Monitoring ◽

Dynamic Process ◽

Feature Analysis ◽

Slow Feature Analysis

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Quality‐relevant dynamic process monitoring based on mutual information multiblock slow feature analysis

Journal of Chemometrics ◽

10.1002/cem.3110 ◽

2019 ◽

Vol 33 (4) ◽

pp. e3110 ◽

Author(s):

Haiyong Zheng ◽

Qingchao Jiang ◽

Xuefeng Yan

Keyword(s):

Mutual Information ◽

Process Monitoring ◽

Dynamic Process ◽

Feature Analysis ◽

Slow Feature Analysis

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Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2015.2466557 ◽

2016 ◽

Vol 63 (1) ◽

pp. 377-386 ◽

Author(s):

Qingchao Jiang ◽

Xuefeng Yan ◽

Biao Huang

Keyword(s):

Bayesian Inference ◽

Variable Selection ◽

Process Monitoring ◽

Relevant Variable

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Multimode Dynamic Process Monitoring Based on Mixture Canonical Variate Analysis Model

Industrial & Engineering Chemistry Research ◽

10.1021/ie503324g ◽

2015 ◽

Vol 54 (5) ◽

pp. 1605-1614 ◽

Author(s):

Qiaojun Wen ◽

Zhiqiang Ge ◽

Zhihuan Song

Keyword(s):

Process Monitoring ◽

Dynamic Process ◽

Canonical Variate Analysis ◽

Canonical Variate ◽

Analysis Model ◽

Variate Analysis

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Dynamic Process Monitoring

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods ◽

10.1007/978-1-4471-5185-2_7 ◽

2013 ◽

pp. 281-339

Author(s):

Chris Aldrich ◽

Lidia Auret

Keyword(s):

Process Monitoring ◽

Dynamic Process

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Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis

IEEE Transactions on Automation Science and Engineering ◽

10.1109/tase.2019.2897477 ◽

2019 ◽

Vol 16 (4) ◽

pp. 1814-1824 ◽

Author(s):

Qingchao Jiang ◽

Xuefeng Yan

Keyword(s):

Bayesian Inference ◽

Correlation Analysis ◽

Process Monitoring ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Variational Bayesian ◽

Variational Bayesian Inference

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Robust dynamic process monitoring based on sparse representation preserving embedding

Journal of Process Control ◽

10.1016/j.jprocont.2016.01.009 ◽

2016 ◽

Vol 40 ◽

pp. 119-133 ◽

Author(s):

Zhibo Xiao ◽

Huangang Wang ◽

Junwu Zhou

Keyword(s):

Sparse Representation ◽

Process Monitoring ◽

Dynamic Process

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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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