Tennessee Eastman Process Monitoring Based on Support Vector Data Description

2012 Second International Conference on Intelligent System Design and Engineering Application ◽

10.1109/isdea.2012.598 ◽

2012 ◽

Cited By ~ 4

Author(s):

Yanguo Liu ◽

Chunwei Xu ◽

Jian Shi

Keyword(s):

Process Monitoring ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Tennessee Eastman Process ◽

Data Description

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A novel key performance indicator oriented process monitoring method based on multiple information extraction and support vector data description

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.24227 ◽

2021 ◽

Author(s):

Xueyi Zhang ◽

Liang Ma ◽

Kaixiang Peng

Keyword(s):

Information Extraction ◽

Process Monitoring ◽

Performance Indicator ◽

Support Vector ◽

Support Vector Data Description ◽

Key Performance Indicator ◽

Vector Data ◽

Monitoring Method ◽

Data Description

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Local Kernel Distance-Support Vector Data Description (LKD-SVDD)-based Process Monitoring Method for Multiphase Batch Processes

2019 IEEE 15th International Conference on Control and Automation (ICCA) ◽

10.1109/icca.2019.8899620 ◽

2019 ◽

Author(s):

Kepeng Qiu ◽

Jianlin Wang ◽

Xuesong Fu ◽

Yongqi Guo ◽

Jia Pan

Keyword(s):

Process Monitoring ◽

Batch Processes ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Monitoring Method ◽

Data Description ◽

Kernel Distance

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Multi-mode process monitoring based on a novel weighted local standardization strategy and support vector data description

Journal of Central South University ◽

10.1007/s11771-016-3353-0 ◽

2016 ◽

Vol 23 (11) ◽

pp. 2896-2905 ◽

Cited By ~ 3

Author(s):

Fu-zhou Zhao ◽

Bing Song ◽

Hong-bo Shi

Keyword(s):

Process Monitoring ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Multi Mode

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Batch process monitoring based on self-adaptive subspace support vector data description

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2017.09.009 ◽

2017 ◽

Vol 170 ◽

pp. 25-31 ◽

Cited By ~ 18

Author(s):

Zhaomin Lv ◽

Xuefeng Yan ◽

Qingchao Jiang

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Batch Process Monitoring ◽

Self Adaptive

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Improved nonlinear PCA for process monitoring using support vector data description

Journal of Process Control ◽

10.1016/j.jprocont.2011.07.003 ◽

2011 ◽

Vol 21 (9) ◽

pp. 1306-1317 ◽

Cited By ~ 38

Author(s):

Xueqin Liu ◽

Kang Li ◽

Marion McAfee ◽

George W. Irwin

Keyword(s):

Process Monitoring ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Nonlinear Pca

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Batch process monitoring based on functional data analysis and support vector data description

Journal of Process Control ◽

10.1016/j.jprocont.2014.05.015 ◽

2014 ◽

Vol 24 (7) ◽

pp. 1085-1097 ◽

Cited By ~ 18

Author(s):

Ma Yao ◽

Huangang Wang ◽

Wenli Xu

Keyword(s):

Data Analysis ◽

Process Monitoring ◽

Functional Data Analysis ◽

Functional Data ◽

Batch Process ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Batch Process Monitoring

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Improved two-dimensional dynamic batch process monitoring with support vector data description

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.00282 ◽

2011 ◽

Vol 44 (1) ◽

pp. 13133-13138 ◽

Cited By ~ 1

Author(s):

Zhiqiang Ge ◽

Furong Gao ◽

Zhihuan Song

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Support Vector ◽

Support Vector Data Description ◽

Two Dimensional ◽

Vector Data ◽

Data Description ◽

Batch Process Monitoring

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Time-adaptive support vector data description for nonstationary process monitoring

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2017.10.016 ◽

2018 ◽

Vol 68 ◽

pp. 18-31 ◽

Cited By ~ 4

Author(s):

Seulki Lee ◽

Seoung Bum Kim

Keyword(s):

Process Monitoring ◽

Nonstationary Process ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Adaptive Support

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Multi-subspace factor analysis integrated with support vector data description for multimode process monitoring

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.07.044 ◽

2018 ◽

Vol 355 (15) ◽

pp. 7664-7690 ◽

Cited By ~ 7

Author(s):

Bei Wang ◽

Zhichao Li ◽

Xuefeng Yan

Keyword(s):

Factor Analysis ◽

Process Monitoring ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description

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Hierarchical Support Vector Data Description for Batch Process Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.6b00901 ◽

2016 ◽

Vol 55 (34) ◽

pp. 9205-9214 ◽

Cited By ~ 8

Author(s):

Zhaomin Lv ◽

Xuefeng Yan

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Batch Process Monitoring

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