On-Line Wavelets Filtering with Application to Linear Dynamic Data Reconciliation

Hsiao-Ping Huang; Kuo-Yuan Luo

doi:10.1021/ie061410k

On-Line Wavelets Filtering with Application to Linear Dynamic Data Reconciliation

Industrial & Engineering Chemistry Research ◽

10.1021/ie061410k ◽

2007 ◽

Vol 46 (25) ◽

pp. 8746-8755 ◽

Cited By ~ 5

Author(s):

Hsiao-Ping Huang ◽

Kuo-Yuan Luo

Keyword(s):

Data Reconciliation ◽

Dynamic Data ◽

Linear Dynamic ◽

On Line ◽

Dynamic Data Reconciliation

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A WAVELET FILTERING APPLICATION FOR ON-LINE DYNAMIC DATA RECONCILIATION

IFAC Proceedings Volumes ◽

10.3182/20060402-4-br-2902.00409 ◽

2006 ◽

Vol 39 (2) ◽

pp. 409-414

Author(s):

Kuo-Yuan Luo ◽

Hsiao-Ping Huang

Keyword(s):

Data Reconciliation ◽

Dynamic Data ◽

Wavelet Filtering ◽

On Line ◽

Dynamic Data Reconciliation

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On-Line Dynamic Data Reconciliation in Batch Suspension Polymerizations of Methyl Methacrylate

Processes ◽

10.3390/pr5030051 ◽

2017 ◽

Vol 5 (4) ◽

pp. 51 ◽

Cited By ~ 4

Author(s):

Jamille Coimbra ◽

Príamo Melo ◽

Diego Prata ◽

José Pinto

Keyword(s):

Methyl Methacrylate ◽

Data Reconciliation ◽

Dynamic Data ◽

On Line ◽

Dynamic Data Reconciliation

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Novel Robust Least-Squares Estimator for Linear Dynamic Data Reconciliation

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b04853 ◽

2018 ◽

Vol 58 (5) ◽

pp. 2071-2083 ◽

Cited By ~ 1

Author(s):

Rui Zhang ◽

Yi Zhang ◽

Yiping Feng ◽

Gang Rong

Keyword(s):

Least Squares ◽

Least Squares Estimator ◽

Data Reconciliation ◽

Dynamic Data ◽

Linear Dynamic ◽

Robust Least Squares ◽

Dynamic Data Reconciliation

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Non-linear Dynamic Data Reconciliation For Industrial Processes

2006 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2006.385149 ◽

2006 ◽

Author(s):

Xuemin Tian ◽

Bokai Xia ◽

Zuojun Yu ◽

Shuang-Hua Yang

Keyword(s):

Data Reconciliation ◽

Industrial Processes ◽

Dynamic Data ◽

Linear Dynamic ◽

Non Linear ◽

Dynamic Data Reconciliation

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DYNAMIC DATA RECONCILIATION: FROM THE FULL MODEL OBSERVER TO THE STATIONARY ON-LINE MASS CONSERVATION FILTER – THE FLOTATION CASE.

IFAC Proceedings Volumes ◽

10.3182/20070821-3-ca-2919.00013 ◽

2007 ◽

Vol 40 (11) ◽

pp. 87-92 ◽

Cited By ~ 2

Author(s):

Daniel Hodouin ◽

Luc Lachance ◽

André Desbiens

Keyword(s):

Mass Conservation ◽

Data Reconciliation ◽

Full Model ◽

Dynamic Data ◽

Line Mass ◽

On Line ◽

Model Observer ◽

Dynamic Data Reconciliation

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Linear dynamic data reconciliation: Refinery application

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)33883-1 ◽

2001 ◽

Vol 34 (25) ◽

pp. 561-566

Author(s):

Wang Yin ◽

Rong Gang ◽

Wang Shuqing

Keyword(s):

Data Reconciliation ◽

Dynamic Data ◽

Linear Dynamic ◽

Dynamic Data Reconciliation

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A Wavelet Enhanced Integral Approach to Linear Dynamic Data Reconciliation

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN ◽

10.1252/jcej.38.1035 ◽

2005 ◽

Vol 38 (12) ◽

pp. 1035-1048 ◽

Cited By ~ 1

Author(s):

Kuo-Yuan Luo ◽

Hsiao-Ping Huang

Keyword(s):

Data Reconciliation ◽

Integral Approach ◽

Dynamic Data ◽

Linear Dynamic ◽

Dynamic Data Reconciliation

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A WAVELET ENHANCED INTEGRAL APPROACH TO LINEAR DYNAMIC DATA RECONCILIATION

IFAC Proceedings Volumes ◽

10.3182/20050703-6-cz-1902.00164 ◽

2005 ◽

Vol 38 (1) ◽

pp. 976-981

Author(s):

Hsiao-Ping Huang ◽

Kuo-Yuan Luo

Keyword(s):

Data Reconciliation ◽

Integral Approach ◽

Dynamic Data ◽

Linear Dynamic ◽

Dynamic Data Reconciliation

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On-Line Dynamic Data Reconciliation Incorporating Dynamic Simulation

Chemical Product and Process Modeling ◽

10.2202/1934-2659.1072 ◽

2007 ◽

Vol 2 (2) ◽

Cited By ~ 1

Author(s):

Rodolfo Téllez-Schmill ◽

William Y Svrcek ◽

Brent Young

Keyword(s):

Linear Optimization ◽

Data Reconciliation ◽

Dynamic Data ◽

Non Linear ◽

On Line ◽

Linear Differential ◽

Energy Balances ◽

Chemical Process Control ◽

Dynamic Data Reconciliation ◽

Process Simulator

The formulations for dynamic data reconciliation found in the literature assume that the error minimization problem is solved as a non-linear optimization problem constrained by the material and energy balances in the form of time-dependant non-linear differential equations. In this paper we introduce a new approach or an unconstrained formulation of this problem using a dynamic process simulator or model calculator and its potential application to chemical process control.

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