Efficient batch process monitoring based on random nonlinear feature analysis

2021 ◽  
Author(s):  
Xiaogang Deng ◽  
Kunyu Du
Keyword(s):  
Process Monitoring ◽  
Batch Process ◽  
Feature Analysis ◽  
Batch Process Monitoring ◽  
Nonlinear Feature

scholarly journals Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 2696-2710 ◽  
Author(s):  
Hanyuan Zhang ◽  
Xuemin Tian ◽  
Xiaogang Deng
Keyword(s):  
Process Monitoring ◽  
Batch Process ◽  
Feature Analysis ◽  
Slow Feature Analysis ◽  
Batch Process Monitoring

Batch process monitoring in the original measurement's space

2010 ◽  
Vol 20 (6) ◽  
pp. 716-725 ◽  
Author(s):  
Carlos R. Alvarez ◽  
Adriana Brandolin ◽  
Mabel C. Sánchez
Keyword(s):  
Process Monitoring ◽  
Batch Process ◽  
Batch Process Monitoring

scholarly journals Feature extraction for batch process monitoring and fault detection via simultaneous data scaling and training of tensor based models

2018 ◽  
Vol 51 (24) ◽  
pp. 433-440 ◽  
Author(s):  
Carlos A. Muñoz ◽  
Dries Telen ◽  
Philippe Nimmegeers ◽  
Jan Van Impe
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Process Monitoring ◽  
Batch Process ◽  
Batch Process Monitoring ◽  
Data Scaling ◽  
And Training

Tensor Global-Local Preserving Projections for Batch Process Monitoring

2014 ◽  
Vol 53 (24) ◽  
pp. 10166-10176 ◽  
Author(s):  
Lijia Luo ◽  
Shiyi Bao ◽  
Zengliang Gao ◽  
Jingqi Yuan
Keyword(s):  
Process Monitoring ◽  
Batch Process ◽  
Batch Process Monitoring

Derivation of function space analysis based PCA control charts for batch process monitoring

2001 ◽  
Vol 56 (10) ◽  
pp. 3289-3304 ◽  
Author(s):  
Junghui Chen ◽  
Jialin Liu
Keyword(s):  
Function Space ◽  
Process Monitoring ◽  
Control Charts ◽  
Batch Process ◽  
Space Analysis ◽  
Batch Process Monitoring
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