A novel adaptive nonlinear dynamic data reconciliation and gross error detection method

Mapping Intimacies ◽

10.1109/cacsd-cca-isic.2006.4776911 ◽

2006 ◽

Author(s):

James H. Taylor ◽

Mazyar B. Laylabadi

Keyword(s):

Error Detection ◽

Nonlinear Dynamic ◽

Detection Method ◽

Data Reconciliation ◽

Dynamic Data ◽

Gross Error Detection ◽

Gross Error ◽

Dynamic Data Reconciliation

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A Novel Adaptive Nonlinear Dynamic Data Reconciliation and Gross Error Detection Method

2006 IEEE International Conference on Control Applications ◽

10.1109/cca.2006.286143 ◽

2006 ◽

Author(s):

James Taylor ◽

Mazyar Laylabadi

Keyword(s):

Error Detection ◽

Nonlinear Dynamic ◽

Detection Method ◽

Data Reconciliation ◽

Dynamic Data ◽

Gross Error Detection ◽

Gross Error ◽

Dynamic Data Reconciliation

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Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2015.01.005 ◽

2015 ◽

Vol 75 ◽

pp. 120-134 ◽

Author(s):

Zhengjiang Zhang ◽

Junghui Chen

Keyword(s):

Error Detection ◽

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Processes ◽

Gross Error Detection ◽

Gross Error ◽

Detection And Identification ◽

Nonlinear Dynamic Processes

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Application of data reconciliation and gross error detection techniques to enhance reliability and consistency of the blast furnace process data

Asia-Pacific Journal of Chemical Engineering ◽

10.1002/apj.2628 ◽

2021 ◽

Author(s):

Sujan Hazra ◽

Prakash Abhale ◽

Samik Nag ◽

Sam Mathew ◽

Shankar Narasimhan

Keyword(s):

Blast Furnace ◽

Error Detection ◽

Data Reconciliation ◽

Blast Furnace Process ◽

Process Data ◽

Gross Error Detection ◽

Furnace Process ◽

Detection Techniques ◽

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A Review on Data Reconciliation and Gross Error Detection for Process Plant Energy Management

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1051/1/012052 ◽

2021 ◽

Vol 1051 (1) ◽

pp. 012052

Author(s):

A S A Wahab ◽

P Y Liew ◽

N A Manaf

Keyword(s):

Energy Management ◽

Error Detection ◽

Data Reconciliation ◽

Gross Error Detection ◽

Gross Error ◽

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An improved MT–NT method for gross error detection and data reconciliation

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2004.04.003 ◽

2004 ◽

Vol 28 (11) ◽

pp. 2189-2192 ◽

Author(s):

Fang Wang ◽

Xiao-ping Jia ◽

Shi-qing Zheng ◽

Jin-cai Yue

Keyword(s):

Error Detection ◽

Data Reconciliation ◽

Gross Error Detection ◽

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Correntropy based data reconciliation and gross error detection for bilinear systems

Chemical Engineering Science ◽

10.1016/j.ces.2019.115327 ◽

2020 ◽

Vol 212 ◽

pp. 115327 ◽

Author(s):

Zhengjiang Zhang ◽

Lester Lik Teck Chan ◽

Junghui Chen ◽

Zhijiang Shao

Keyword(s):

Error Detection ◽

Bilinear Systems ◽

Data Reconciliation ◽

Gross Error Detection ◽

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Reactivity and Delayed Neutron Precursors’ Concentration Estimation Based on Recursive Nonlinear Dynamic Data Reconciliation Technique

IEEE Transactions on Nuclear Science ◽

10.1109/tns.2019.2895134 ◽

2019 ◽

Vol 66 (2) ◽

pp. 541-548

Author(s):

Tarang Upendra Bhatt ◽

Shrenik B. Patel ◽

Akhilanand Pati Tiwari

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Delayed Neutron ◽

Dynamic Data ◽

Concentration Estimation ◽

Dynamic Data Reconciliation

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Modified unscented recursive nonlinear dynamic data reconciliation for constrained state estimation

Journal of Process Control ◽

10.1016/j.jprocont.2010.02.006 ◽

2010 ◽

Vol 20 (4) ◽

pp. 525-537 ◽

Author(s):

Sachin C. Kadu ◽

Mani Bhushan ◽

Ravindra Gudi ◽

Kallol Roy

Keyword(s):

State Estimation ◽

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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Robust and reliable estimation via Unscented Recursive Nonlinear Dynamic Data Reconciliation

Journal of Process Control ◽

10.1016/j.jprocont.2006.07.002 ◽

2006 ◽

Vol 16 (10) ◽

pp. 1075-1086 ◽

Author(s):

Pramod Vachhani ◽

Shankar Narasimhan ◽

Raghunathan Rengaswamy

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Reliable Estimation ◽

Dynamic Data Reconciliation

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Nonlinear Dynamic Data Reconciliation via Process Simulation Software and Model Identification Tools

Industrial & Engineering Chemistry Research ◽

10.1021/ie010781s ◽

2002 ◽

Vol 41 (16) ◽

pp. 3984-3992 ◽

Author(s):

Semra Alici ◽

Thomas F. Edgar

Keyword(s):

Process Simulation ◽

Nonlinear Dynamic ◽

Model Identification ◽

Simulation Software ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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