Time-Varying Process Monitoring

Advances in Industrial Control - Multivariate Statistical Process Control ◽

10.1007/978-1-4471-4513-4_7 ◽

2012 ◽

pp. 81-94

Author(s):

Zhiqiang Ge ◽

Zhihuan Song

Keyword(s):

Process Monitoring ◽

Time Varying

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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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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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Model selection and change detection for a time-varying mean in process monitoring

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ◽

10.1016/j.nima.2014.03.023 ◽

2014 ◽

Vol 751 ◽

pp. 79-87 ◽

Cited By ~ 1

Author(s):

Tom Burr ◽

Michael S. Hamada ◽

Larry Ticknor ◽

Brian Weaver

Keyword(s):

Model Selection ◽

Change Detection ◽

Process Monitoring ◽

Time Varying

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Incremental Gaussian Mixture Model for Time-varying Process Monitoring

2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls49620.2020.9275042 ◽

2020 ◽

Author(s):

Qingyang Dai ◽

Chunhui Zhao

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Process Monitoring ◽

Gaussian Mixture ◽

Time Varying

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Client Process Monitoring System Manual for Mental Health Service Providers: Mental Health CPMS

PsycEXTRA Dataset ◽

10.1037/e324862004-001 ◽

2003 ◽

Author(s):

Keyword(s):

Mental Health ◽

Mental Health Service ◽

Health Service ◽

Monitoring System ◽

Process Monitoring ◽

Service Providers ◽

Health Service Providers

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Adaptative Model of the Human Operator in a Time-Varying Control Task

PsycEXTRA Dataset ◽

10.1037/e506122009-008 ◽

1966 ◽

Author(s):

E. E. Gould ◽

K. S. Fu

Keyword(s):

Human Operator ◽

Time Varying ◽

Control Task

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Functional versus schematic overview displays: Impact on operator situation awareness in process monitoring

PsycEXTRA Dataset ◽

10.1037/e578652012-011 ◽

2010 ◽

Cited By ~ 1

Author(s):

Anand Tharanathan ◽

Jason Laberge ◽

Peter Bullemer ◽

Dal Vernon Reising ◽

Rich McLain

Keyword(s):

Process Monitoring ◽

Situation Awareness ◽

Functional Versus

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User-friendly statistical concepts for process monitoring

Journal of the Operational Research Society ◽

10.1038/sj.jors.2600594 ◽

1998 ◽

Vol 49 (9) ◽

pp. 976-985

Author(s):

M Wood ◽

N Capon ◽

and M Kaye

Keyword(s):

Process Monitoring ◽

User Friendly

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Holography of time-varying waves through diffraction of pulsed light

Uspekhi Fizicheskih Nauk ◽

10.3367/ufnr.0148.198603g.0537 ◽

1986 ◽

Vol 148 (3) ◽

pp. 537 ◽

Cited By ~ 2

Author(s):

Yu.T. Mazurenko

Keyword(s):

Time Varying ◽

Pulsed Light

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