Nonlinear dynamic principal component analysis for on-line process monitoring and diagnosis

Computers & Chemical Engineering ◽

10.1016/s0098-1354(00)00433-6 ◽

2000 ◽

Vol 24 (2-7) ◽

pp. 423-429 ◽

Author(s):

Weilu Lin ◽

Yu Qian ◽

Xiuxi Li

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Nonlinear Dynamic ◽

Principal Component ◽

Component Analysis ◽

Monitoring And Diagnosis ◽

Dynamic Principal Component Analysis ◽

On Line ◽

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Nonlinear dynamic process monitoring using deep dynamic principal component analysis

Systems Science & Control Engineering ◽

10.1080/21642583.2021.2024915 ◽

2022 ◽

Vol 10 (1) ◽

pp. 55-64

Author(s):

Simin Li ◽

Shuanghua Yang ◽

Yi Cao ◽

Zuzen Ji

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Dynamic Process ◽

Nonlinear Dynamic ◽

Principal Component ◽

Component Analysis ◽

Dynamic Principal Component Analysis

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On-Line Nonlinear Process Monitoring Using Kernel Principal Component Analysis and Neural Network

Advances in Neural Networks - ISNN 2006 - Lecture Notes in Computer Science ◽

10.1007/11760191_138 ◽

2006 ◽

pp. 945-950 ◽

Author(s):

Zhong-Gai Zhao ◽

Fei Liu

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Nonlinear Process ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Nonlinear Process Monitoring ◽

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On-line novelty detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions

IEEE Sensors Journal ◽

10.1109/jsen.2006.874015 ◽

2006 ◽

Vol 6 (3) ◽

pp. 770-783 ◽

Author(s):

A. Perera ◽

N. Papamichail ◽

N. Barsan ◽

U. Weimar ◽

S. Marco

Keyword(s):

Principal Component Analysis ◽

Novelty Detection ◽

Sensor Arrays ◽

Principal Component ◽

Component Analysis ◽

Dynamic Principal Component Analysis ◽

On Line ◽

Drift Conditions ◽

Gas Sensor Arrays

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On-line detection of homogeneous operation ranges by dynamic principal component analysis based time-series segmentation

Chemical Engineering Science ◽

10.1016/j.ces.2012.02.022 ◽

2012 ◽

Vol 75 ◽

pp. 96-105 ◽

Author(s):

László Dobos ◽

János Abonyi

Keyword(s):

Principal Component Analysis ◽

Time Series ◽

Principal Component ◽

Component Analysis ◽

Line Detection ◽

Time Series Segmentation ◽

Dynamic Principal Component Analysis ◽

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A New Soft Sensor Based on Dynamic Principal Component Analysis and on-line Potential Fuzzy Clustering

2008 IEEE International Conference on Networking, Sensing and Control ◽

10.1109/icnsc.2008.4525198 ◽

2008 ◽

Author(s):

Karim Amanian ◽

Karim Salahshoor ◽

Mohammad Reza Jafari ◽

Mohsen Mosallaie

Keyword(s):

Principal Component Analysis ◽

Fuzzy Clustering ◽

Principal Component ◽

Component Analysis ◽

Soft Sensor ◽

Dynamic Principal Component Analysis ◽

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Adaptive kernel principal component analysis for nonlinear dynamic process monitoring

2013 9th Asian Control Conference (ASCC) ◽

10.1109/ascc.2013.6606291 ◽

2013 ◽

Author(s):

Chakour Chouaib ◽

Harkat Mohamed-Faouzi ◽

Djeghaba Messaoud

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Dynamic Process ◽

Nonlinear Dynamic ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Adaptive Kernel

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A real-time fault monitoring and diagnosis for batch process based on dynamic principal component analysis

2012 24th Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2012.6244464 ◽

2012 ◽

Author(s):

Jia Mingxing ◽

Qiao Shengyang ◽

Lan Qing

Keyword(s):

Principal Component Analysis ◽

Real Time ◽

Principal Component ◽

Batch Process ◽

Component Analysis ◽

Monitoring And Diagnosis ◽

Fault Monitoring ◽

Dynamic Principal Component Analysis

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On-line batch process monitoring using a consecutively updated multiway principal component analysis model

Computers & Chemical Engineering ◽

10.1016/s0098-1354(03)00151-0 ◽

2003 ◽

Vol 27 (12) ◽

pp. 1903-1912 ◽

Author(s):

Jong-Min Lee ◽

ChangKyoo Yoo ◽

In-Beum Lee

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Batch Process ◽

Component Analysis ◽

Analysis Model ◽

Principal Component Analysis Model ◽

Batch Process Monitoring ◽

On Line ◽

Multiway Principal Component Analysis

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A multi-feature extraction technique based on principal component analysis for nonlinear dynamic process monitoring

Journal of Process Control ◽

10.1016/j.jprocont.2019.11.010 ◽

2020 ◽

Vol 85 ◽

pp. 159-172 ◽

Author(s):

Lingling Guo ◽

Ping Wu ◽

Siwei Lou ◽

Jinfeng Gao ◽

Yichao Liu

Keyword(s):

Principal Component Analysis ◽

Feature Extraction ◽

Process Monitoring ◽

Dynamic Process ◽

Nonlinear Dynamic ◽

Principal Component ◽

Component Analysis ◽

Extraction Technique ◽

Feature Extraction Technique

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Batch Process Monitoring in Score Space of Two-Dimensional Dynamic Principal Component Analysis (PCA)

Industrial & Engineering Chemistry Research ◽

10.1021/ie070579a ◽

2007 ◽

Vol 46 (24) ◽

pp. 8033-8043 ◽

Author(s):

Yuan Yao ◽

Furong Gao

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Batch Process ◽

Component Analysis ◽

Two Dimensional ◽

Batch Process Monitoring ◽

Dynamic Principal Component Analysis

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