Soft Sensor Design for Restricted Variable Sampling Time

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.097 ◽

2020 ◽

Vol 53 (2) ◽

pp. 80-85

Author(s):

Fritjof Griesing-Scheiwe ◽

Yuri A.W. Shardt ◽

Gustavo Pérez-Zuñiga ◽

Xu Yang

Keyword(s):

Soft Sensor ◽

Sampling Time ◽

Sensor Design ◽

Variable Sampling

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Soft sensor design for variable time delay and variable sampling time

Journal of Process Control ◽

10.1016/j.jprocont.2020.07.001 ◽

2020 ◽

Vol 92 ◽

pp. 310-318

Author(s):

Fritjof Griesing-Scheiwe ◽

Yuri A.W. Shardt ◽

Gustavo Pérez-Zuñiga ◽

Xu Yang

Keyword(s):

Soft Sensor ◽

Sampling Time ◽

Sensor Design ◽

Variable Time Delay ◽

Variable Time ◽

Variable Sampling

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Parameter estimation with variable sampling time via generalized block pulse functions

Journal of the Chinese Institute of Engineers ◽

10.1080/02533839.1987.9677012 ◽

1987 ◽

Vol 10 (5) ◽

pp. 567-572

Author(s):

Rong‐Liang Chen ◽

Wen‐Teng Wu

Keyword(s):

Parameter Estimation ◽

Sampling Time ◽

Block Pulse Functions ◽

Variable Sampling

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Soft sensor design for a Sulfur Recovery Unit using a clustering based approach

2008 IEEE Instrumentation and Measurement Technology Conference ◽

10.1109/imtc.2008.4547215 ◽

2008 ◽

Author(s):

S. Graziani ◽

G. Napoli ◽

M.G. Xibilia

Keyword(s):

Soft Sensor ◽

Sensor Design ◽

Sulfur Recovery ◽

Sulfur Recovery Unit ◽

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Teaching of robot task by manual control-trial and correction of the velocity with a variable sampling time

10.1109/iros.1990.262363 ◽

2002 ◽

Author(s):

R. Ikeura ◽

H. Usuda ◽

H. Inooka

Keyword(s):

Sampling Time ◽

Manual Control ◽

Variable Sampling ◽

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Frequency-Domain Simulation of Electromagnetic Transients Using Variable Sampling Time-Step

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2015.2449754 ◽

2015 ◽

Vol 30 (6) ◽

pp. 2602-2604 ◽

Author(s):

Abner Ramirez ◽

Reza Iravani

Keyword(s):

Frequency Domain ◽

Sampling Time ◽

Electromagnetic Transients ◽

Time Step ◽

Variable Sampling

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Data-based Industrial Soft-sensor Design via Optimal Subset Selection

31st European Symposium on Computer Aided Process Engineering - Computer Aided Chemical Engineering ◽

10.1016/b978-0-323-88506-5.50192-3 ◽

2021 ◽

pp. 1247-1252

Author(s):

Martin Mojto ◽

Karol Ľubušký ◽

Miroslav Fikar ◽

Radoslav Paulen

Keyword(s):

Subset Selection ◽

Soft Sensor ◽

Sensor Design ◽

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Soft sensor design and fault detection using Bayesian network and probabilistic principal component analysis

Journal of Advanced Manufacturing and Processing ◽

10.1002/amp2.10027 ◽

2019 ◽

Vol 1 (4) ◽

Author(s):

Ahad Mohammadi ◽

Reza Zarghami ◽

Dimitri Lefebvre ◽

Shahab Golshan ◽

Navid Mostoufi

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Soft Sensor ◽

Sensor Design ◽

Probabilistic Principal Component Analysis

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Soft-Sensor Design for a Crude Distillation Unit Using Statistical Learning Methods

13th International Symposium on Process Systems Engineering (PSE 2018) - Computer Aided Chemical Engineering ◽

10.1016/b978-0-444-64241-7.50373-6 ◽

2018 ◽

pp. 2269-2274 ◽

Author(s):

Aysun Urhan ◽

Nevin Gerek Ince ◽

Ronald Bondy ◽

Burak Alakent

Keyword(s):

Statistical Learning ◽

Soft Sensor ◽

Distillation Unit ◽

Sensor Design ◽

Learning Methods

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Soft Sensor Design for Estimation of SOFC Stack Temperatures and Oxygen-to-Carbon Ratio

ECS Meeting Abstracts ◽

10.1149/ma2015-03/1/403 ◽

2015 ◽

Keyword(s):

Soft Sensor ◽

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Soft Sensor Design for Estimation of SOFC Stack Temperatures and Oxygen-to-Carbon Ratio

ECS Transactions ◽

10.1149/06801.2625ecst ◽

2015 ◽

Vol 68 (1) ◽

pp. 2625-2636 ◽

Author(s):

B. Dolenc ◽

D. Vrecko ◽

D. Juricic ◽

A. Pohjoranta ◽

J. Kiviaho ◽

...

Keyword(s):

Soft Sensor ◽

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