Pseudo Time-Slice Construction Using a Variable Moving Window k Nearest Neighbor Rule for Sequential Uneven Phase Division and Batch Process Monitoring

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.6b03743 ◽

2017 ◽

Vol 56 (3) ◽

pp. 728-740 ◽

Author(s):

Shumei Zhang ◽

Chunhui Zhao ◽

Shu Wang ◽

Fuli Wang

Keyword(s):

Process Monitoring ◽

Nearest Neighbor ◽

Batch Process ◽

Moving Window ◽

K Nearest Neighbor ◽

Batch Process Monitoring ◽

Nearest Neighbor Rule

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Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule

Journal of Process Control ◽

10.1016/j.jprocont.2018.02.004 ◽

2018 ◽

Vol 64 ◽

pp. 49-61 ◽

Author(s):

Zehan Zhang ◽

Teng Jiang ◽

Shuanghong Li ◽

Yupu Yang

Keyword(s):

Process Monitoring ◽

Nearest Neighbor ◽

Feature Learning ◽

Nonlinear Process ◽

K Nearest Neighbor ◽

Denoising Autoencoder ◽

Nonlinear Process Monitoring ◽

Nearest Neighbor Rule

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A real-time monitoring method using random projection and k-nearest neighbor rule for batch process

International Journal of Advanced Robotic Systems ◽

10.1177/1729881417739431 ◽

2017 ◽

Vol 14 (6) ◽

pp. 172988141773943 ◽

Author(s):

Lan Wu ◽

Chenglin Wen ◽

Mei Zhou ◽

Haipeng Ren

Keyword(s):

Real Time ◽

Nearest Neighbor ◽

Batch Process ◽

Random Projection ◽

K Nearest Neighbor ◽

Real Time Monitoring ◽

Monitoring Method ◽

Nearest Neighbor Rule

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The Batch Process Fault Monitoring Using Adversarial Auto-encoder and K-Nearest Neighbor Rule

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls52934.2021.9455504 ◽

2021 ◽

Author(s):

Zeyu Li ◽

Peng Chang ◽

Kai Wang ◽

Pu Wang

Keyword(s):

Nearest Neighbor ◽

Batch Process ◽

K Nearest Neighbor ◽

Fault Monitoring ◽

Nearest Neighbor Rule

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Multiphase two-dimensional time-slice dynamic system for batch process monitoring

Journal of Process Control ◽

10.1016/j.jprocont.2019.12.004 ◽

2020 ◽

Vol 85 ◽

pp. 184-198

Author(s):

Jinlin Zhu ◽

Yuan Yao ◽

Furong Gao

Keyword(s):

Dynamic System ◽

Process Monitoring ◽

Batch Process ◽

Two Dimensional ◽

Batch Process Monitoring

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Sequential phase division by constructing pseudo time-slice for nonlinear multiphase batch process monitoring with uneven lengths

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.1843 ◽

2017 ◽

Vol 50 (1) ◽

pp. 14070-14075

Author(s):

Shumei Zhang ◽

Chunhui Zhao

Keyword(s):

Process Monitoring ◽

Batch Process ◽

Batch Process Monitoring ◽

Sequential Phase

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Batch process monitoring in the original measurement's space

Journal of Process Control ◽

10.1016/j.jprocont.2010.03.006 ◽

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

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Fault Detection Using the k-Nearest Neighbor Rule for Semiconductor Manufacturing Processes

IEEE Transactions on Semiconductor Manufacturing ◽

10.1109/tsm.2007.907607 ◽

2007 ◽

Vol 20 (4) ◽

pp. 345-354 ◽

Author(s):

Q. Peter He ◽

Jin Wang

Keyword(s):

Fault Detection ◽

Semiconductor Manufacturing ◽

Nearest Neighbor ◽

Manufacturing Processes ◽

K Nearest Neighbor ◽

Nearest Neighbor Rule

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Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11539087_9 ◽

2005 ◽

pp. 71-80

Author(s):

Jigang Wang ◽

Predrag Neskovic ◽

Leon N. Cooper

Keyword(s):

Nearest Neighbor ◽

K Nearest Neighbor ◽

Statistical Confidence ◽

Nearest Neighbor Rule

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

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.613 ◽

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 ◽

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Wavelet functional principal component analysis for batch process monitoring

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2019.103897 ◽

2020 ◽

Vol 196 ◽

pp. 103897 ◽

Author(s):

Jingxiang Liu ◽

Junghui Chen ◽

Dan Wang

Keyword(s):

Principal Component Analysis ◽

Process Monitoring ◽

Principal Component ◽

Batch Process ◽

Component Analysis ◽

Functional Principal Component Analysis ◽

Batch Process Monitoring ◽

Functional Principal Component

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