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 ◽

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 ◽

Download Full-text

Robust machine fault detection with independent component analysis and support vector data description

Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468) ◽

10.1109/nnsp.1999.788124 ◽

2003 ◽

Author(s):

A. Ypma ◽

D.M.J. Tax ◽

R.P.W. Duin

Keyword(s):

Fault Detection ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Download Full-text

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 ◽

Author(s):

Na Zhong ◽

Xiaogang Deng

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Local Entropy ◽

Download Full-text

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 ◽

Author(s):

Bei Wang ◽

Xuefeng Yan ◽

Qingchao Jiang

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Analysis Model ◽

Download Full-text

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 ◽

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

Download Full-text

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 ◽

Author(s):

Chudong Tong ◽

Ting Lan ◽

Xuhua Shi

Keyword(s):

Independent Component Analysis ◽

Gaussian Process ◽

Process Monitoring ◽

Component Analysis ◽

Independent Component ◽

Download Full-text

Just‐in‐time learning–multiple subspace support vector data description used for non‐Gaussian dynamic batch process monitoring

Journal of Chemometrics ◽

10.1002/cem.3134 ◽

2019 ◽

Vol 33 (6) ◽

Author(s):

Zhaomin Lv ◽

Xuefeng Yan ◽

Qingchao Jiang ◽

Ning Li

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Support Vector ◽

Just In Time ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Batch Process Monitoring ◽

Download Full-text

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 ◽

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 ◽

Download Full-text

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

Download Full-text

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

Download Full-text

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 ◽

Author(s):

Fu-zhou Zhao ◽

Bing Song ◽

Hong-bo Shi

Keyword(s):

Process Monitoring ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Download Full-text