Nonlinear dynamic process monitoring based on kernel partial least squares

2012 American Control Conference (ACC) ◽

10.1109/acc.2012.6315096 ◽

2012 ◽

Author(s):

Qiaojun Wen ◽

Zhiqiang Ge ◽

Zhihuan Song

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Process Monitoring ◽

Dynamic Process ◽

Nonlinear Dynamic ◽

Kernel Partial Least Squares

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Enhanced batch process monitoring using just-in-time-learning based kernel partial least squares

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2013.02.004 ◽

2013 ◽

Vol 123 ◽

pp. 15-27 ◽

Cited By ~ 39

Author(s):

Yi Hu ◽

Hehe Ma ◽

Hongbo Shi

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Process Monitoring ◽

Batch Process ◽

Just In Time ◽

Kernel Partial Least Squares ◽

Batch Process Monitoring

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Key-Performance-Indicator-Related Process Monitoring Based on Improved Kernel Partial Least Squares

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2020.2972472 ◽

2021 ◽

Vol 68 (3) ◽

pp. 2626-2636 ◽

Cited By ~ 14

Author(s):

Yabin Si ◽

Youqing Wang ◽

Donghua Zhou

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Process Monitoring ◽

Performance Indicator ◽

Key Performance Indicator ◽

Kernel Partial Least Squares ◽

Related Process

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Dynamical process monitoring using dynamical hierarchical kernel partial least squares

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2012.07.004 ◽

2012 ◽

Vol 118 ◽

pp. 150-158 ◽

Cited By ~ 16

Author(s):

Yingwei Zhang ◽

Shuai Li ◽

Zhiyong Hu ◽

Chonghui Song

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Process Monitoring ◽

Dynamical Process ◽

Kernel Partial Least Squares

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On-line batch process monitoring using hierarchical kernel partial least squares

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2011.01.002 ◽

2011 ◽

Vol 89 (10) ◽

pp. 2078-2084 ◽

Cited By ~ 29

Author(s):

Yingwei Zhang ◽

Zhiyong Hu

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Process Monitoring ◽

Batch Process ◽

Kernel Partial Least Squares ◽

Batch Process Monitoring ◽

On Line

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New contributions to non-linear process monitoring through kernel partial least squares

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2014.04.001 ◽

2014 ◽

Vol 135 ◽

pp. 76-89 ◽

Cited By ~ 22

Author(s):

José L. Godoy ◽

David A. Zumoffen ◽

Jorge R. Vega ◽

Jacinto L. Marchetti

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Process Monitoring ◽

Linear Process ◽

Kernel Partial Least Squares ◽

Non Linear

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Image Super-resolution Reconstruction Based on Kernel Partial Least Squares and Weighted Boosting

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2011.01191 ◽

2013 ◽

Vol 34 (7) ◽

pp. 1525-1530

Author(s):

Xiao-yan Li ◽

Hong-jie He ◽

Zhong-ke Yin ◽

Fan Chen

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Super Resolution ◽

Kernel Partial Least Squares ◽

Image Super Resolution

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Quality-related fault detection approach based on dynamic kernel partial least squares

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2015.12.015 ◽

2016 ◽

Vol 106 ◽

pp. 242-252 ◽

Cited By ~ 50

Author(s):

Qilong Jia ◽

Yingwei Zhang

Keyword(s):

Fault Detection ◽

Least Squares ◽

Partial Least Squares ◽

Kernel Partial Least Squares ◽

Detection Approach

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Optimal Learning Rates for Kernel Partial Least Squares

Journal of Fourier Analysis and Applications ◽

10.1007/s00041-017-9544-8 ◽

2017 ◽

Vol 24 (3) ◽

pp. 908-933 ◽

Cited By ~ 1

Author(s):

Shao-Bo Lin ◽

Ding-Xuan Zhou

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Optimal Learning ◽

Kernel Partial Least Squares ◽

Learning Rates

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A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on an Optimal Preference Matrix

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2017.2668986 ◽

2017 ◽

Vol 64 (5) ◽

pp. 4315-4324 ◽

Cited By ~ 28

Author(s):

Jun Yi ◽

Di Huang ◽

Haibo He ◽

Wei Zhou ◽

Qi Han ◽

...

Keyword(s):

Fault Diagnosis ◽

Least Squares ◽

Partial Least Squares ◽

Kernel Partial Least Squares ◽

Preference Matrix

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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression

PLoS ONE ◽

10.1371/journal.pone.0134668 ◽

2015 ◽

Vol 10 (8) ◽

pp. e0134668 ◽

Cited By ~ 12

Author(s):

Sonja Lehtinen ◽

Jon Lees ◽

Jürg Bähler ◽

John Shawe-Taylor ◽

Christine Orengo

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Gene Function ◽

Partial Least Squares Regression ◽

Function Prediction ◽

Least Squares Regression ◽

Gene Function Prediction ◽

Functional Association ◽

Kernel Partial Least Squares

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