Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering

IEEE Access ◽

10.1109/access.2020.2974783 ◽

2020 ◽

Vol 8 ◽

pp. 35864-35872 ◽

Author(s):

Xiaogang Deng ◽

Yongxuan Chen ◽

Ping Wang ◽

Yuping Cao

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

Nonlinear Processes ◽

Latent Factor ◽

Kernel Partial Least Squares ◽

Sensor Modeling

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Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2014.07.014 ◽

2014 ◽

Vol 71 ◽

pp. 77-93 ◽

Author(s):

Huaiping Jin ◽

Xiangguang Chen ◽

Jianwen Yang ◽

Lei Wu

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Soft Sensor ◽

Batch Processes ◽

Just In Time ◽

Least Squares Regression ◽

Modeling Framework ◽

Kernel Partial Least Squares ◽

Sensor Modeling

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Nonlinear Soft Sensor Modeling Method Based on Multimode Kernel Partial Least Squares Assisted by Improved KFCM Clustering

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8997186 ◽

2019 ◽

Author(s):

Yongxuan Chen ◽

Xiaogang Deng ◽

Yuping Cao

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

Modeling Method ◽

Kernel Partial Least Squares ◽

Sensor Modeling

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Combining Kernel Partial Least-Squares Modeling and Iterative Learning Control for the Batch-to-Batch Optimization of Constrained Nonlinear Processes

Industrial & Engineering Chemistry Research ◽

10.1021/ie1004702 ◽

2010 ◽

Vol 49 (16) ◽

pp. 7470-7477 ◽

Author(s):

Yingwei Zhang ◽

Yunpeng Fan ◽

Pengchao Zhang

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Nonlinear Processes ◽

Kernel Partial Least Squares

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Robust Online Monitoring Based on Spherical-Kernel Partial Least Squares for Nonlinear Processes with Contaminated Modeling Data

Industrial & Engineering Chemistry Research ◽

10.1021/ie4008776 ◽

2013 ◽

Vol 52 (26) ◽

pp. 9155-9164 ◽

Author(s):

Yi Hu ◽

Hehe Ma ◽

Hongbo Shi

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Online Monitoring ◽

Nonlinear Processes ◽

Kernel Partial Least Squares ◽

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Enhanced fault detection for nonlinear processes using modified kernel partial least squares and the statistical local approach

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.23058 ◽

2017 ◽

Vol 96 (5) ◽

pp. 1116-1126 ◽

Author(s):

Li Wang

Keyword(s):

Fault Detection ◽

Least Squares ◽

Partial Least Squares ◽

Nonlinear Processes ◽

Local Approach ◽

Kernel Partial Least Squares

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Soft sensor for nonlinear processes based on ensemble partial least squares with adaptive localization

The 27th Chinese Control and Decision Conference (2015 CCDC) ◽

10.1109/ccdc.2015.7162017 ◽

2015 ◽

Author(s):

Weiming Shao ◽

Xuemin Tian

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

Nonlinear Processes

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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 ◽

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 ◽

Author(s):

Shao-Bo Lin ◽

Ding-Xuan Zhou

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Optimal Learning ◽

Kernel Partial Least Squares ◽

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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 ◽

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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