Dynamic industrial process monitoring based on concurrent fast and slow‐time‐varying feature analytics

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.24207 ◽

2021 ◽

Author(s):

Chi Zhang ◽

Jie Dong ◽

Kaixiang Peng ◽

Peihang You

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Time Varying ◽

Slow Time

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Slow time-varying industrial process monitoring technology with recursive concurrent projection to latent Structures

2019 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2019.8832495 ◽

2019 ◽

Author(s):

Zhongying Xu ◽

Xiangyu Kong ◽

Xiaowei Feng ◽

Boyang Du

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Time Varying ◽

Slow Time ◽

Monitoring Technology ◽

Projection To Latent Structures ◽

Latent Structures

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Industrial process monitoring by synthetic view

2007 European Control Conference (ECC) ◽

10.23919/ecc.2007.7068995 ◽

2007 ◽

Author(s):

Antonio Dourado ◽

Paulo Barbeiro ◽

Edgar Ferreira ◽

Jorge Henriques ◽

Maria Antonio ◽

...

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Synthetic View

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Distributed dictionary learning for industrial process monitoring with big data

Applied Intelligence ◽

10.1007/s10489-020-02128-x ◽

2021 ◽

Author(s):

Keke Huang ◽

Ke Wei ◽

Yonggang Li ◽

Chunhua Yang

Keyword(s):

Big Data ◽

Process Monitoring ◽

Dictionary Learning ◽

Industrial Process

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Enhanced process monitoring of fed-batch penicillin cultivation using time-varying and multivariate statistical analysis

Journal of Biotechnology ◽

10.1016/j.jbiotec.2004.01.016 ◽

2004 ◽

Vol 110 (2) ◽

pp. 119-136 ◽

Cited By ~ 66

Author(s):

Jong-Min Lee ◽

Chang Kyoo Yoo ◽

In-Beum Lee

Keyword(s):

Statistical Analysis ◽

Process Monitoring ◽

Multivariate Statistical Analysis ◽

Time Varying ◽

Fed Batch ◽

Multivariate Statistical

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Deep Learning of Latent Variable Models for Industrial Process Monitoring

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3134251 ◽

2021 ◽

pp. 1-1

Author(s):

Xiangyin Kong ◽

Zhiqiang Ge

Keyword(s):

Deep Learning ◽

Process Monitoring ◽

Latent Variable ◽

Industrial Process ◽

Latent Variable Models

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Mobility Support and Service Discovery for Industrial Process Monitoring

Studies in Big Data - Internet of Things: Novel Advances and Envisioned Applications ◽

10.1007/978-3-319-53472-5_3 ◽

2017 ◽

pp. 57-85

Author(s):

Tuan Dang ◽

Pascale Minet ◽

Patrick Bellot ◽

Christophe Mozzati ◽

Erwan Livolant

Keyword(s):

Process Monitoring ◽

Service Discovery ◽

Industrial Process ◽

Mobility Support

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Multi-dimensional advances for industrial process monitoring

Nuclear Engineering and Design ◽

10.1016/j.nucengdes.2010.09.014 ◽

2011 ◽

Vol 241 (6) ◽

pp. 1937

Author(s):

Robert B. Hammond

Keyword(s):

Process Monitoring ◽

Industrial Process

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PD Control Scheme with Region Formulation for Slow Time-Varying Tracking Control of an Unmanned Aerial Vehicle

2014 International Conference on Information Science & Applications (ICISA) ◽

10.1109/icisa.2014.6847443 ◽

2014 ◽

Cited By ~ 1

Author(s):

Z. H. Ismail ◽

A. Q. M. Sabri

Keyword(s):

Unmanned Aerial Vehicle ◽

Tracking Control ◽

Time Varying ◽

Slow Time ◽

Pd Control ◽

Control Scheme ◽

Aerial Vehicle

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Design and application of an advanced laser spectrometer for industrial process monitoring

Technical Digest. Summaries of papers presented at the Conference on Lasers and Electro-Optics. Postconference Edition. CLEO '99. Conference on Lasers and Electro-Optics (IEEE Cat. No.99CH37013) ◽

10.1109/cleo.1999.834402 ◽

2003 ◽

Author(s):

S.E. Moody ◽

D.L. Cunningham ◽

E.D.H. Green ◽

V. Matijasevic

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Laser Spectrometer ◽

Design And Application

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Margin Slow Released Full Cycle Optimization due to Slow Time-Varying Fouling Characteristics of Multi-Effect Evaporation Desalination System

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2021.12.050 ◽

2022 ◽

Author(s):

Chun-Bo Chen ◽

Xiong-Lin Luo ◽

Lin Sun

Keyword(s):

Time Varying ◽

Slow Time ◽

Fouling Characteristics

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