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There are 57943 results for: content related to: Reconciliation of process flow rates by matrix projection. Part I: Linear case

  1. Gross error detection and data reconciliation in steam-metering systems

    AIChE Journal

    Volume 32, Issue 5, May 1986, Pages: 733–742, R. W. Serth and W. A. Heenan

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690320503

  2. Reconciliation of process flow rates by matrix projection. Part II: The nonlinear case

    AIChE Journal

    Volume 32, Issue 4, April 1986, Pages: 616–623, C. M. Crowe

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690320410

  3. Bayesian method for simultaneous gross error detection and data reconciliation

    AIChE Journal

    Volume 61, Issue 10, October 2015, Pages: 3232–3248, Yuan Yuan, Shima Khatibisepehr, Biao Huang and Zukui Li

    Version of Record online : 23 MAY 2015, DOI: 10.1002/aic.14864

  4. Performance studies of the measurement test for detection of gross errors in process data

    AIChE Journal

    Volume 31, Issue 7, July 1985, Pages: 1187–1201, C. Iordache, R. S. H. Mah and A. C. Tamhane

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690310717

  5. Maximum likelihood data rectification: Steady-state systems

    AIChE Journal

    Volume 41, Issue 11, November 1995, Pages: 2415–2426, Lloyd P. M. Johnston and Mark A. Kramer

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690411108

  6. Generalized likelihood ratio method for gross error identification

    AIChE Journal

    Volume 33, Issue 9, September 1987, Pages: 1514–1521, S. Narasimhan and R. S. H. Mah

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690330911

  7. On the theory of optimal sensor placement

    AIChE Journal

    Volume 48, Issue 5, May 2002, Pages: 1001–1012, Donald J. Chmielewski, Tasha Palmer and Vasilios Manousiouthakis

    Version of Record online : 16 APR 2004, DOI: 10.1002/aic.690480510

  8. Generalized likelihood ratios for gross error identification in dynamic processes

    AIChE Journal

    Volume 34, Issue 8, August 1988, Pages: 1321–1331, Shankar Narasimhan and Richard S. H. Mah

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690340810

  9. Recursive identification of gross errors in linear data reconciliation

    AIChE Journal

    Volume 34, Issue 4, April 1988, Pages: 541–550, Cameron M. Crowe

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690340403

  10. On the definition of software accuracy in redundant measurement systems

    AIChE Journal

    Volume 51, Issue 4, April 2005, Pages: 1201–1206, Miguel J. Bagajewicz

    Version of Record online : 3 MAR 2005, DOI: 10.1002/aic.10379

  11. Objective quality control of observations using Bayesian methods. Theory, and a practical implementation

    Quarterly Journal of the Royal Meteorological Society

    Volume 114, Issue 480, January 1988 Part B, Pages: 515–543, A. C. Lorenc and O. Hammon

    Version of Record online : 15 DEC 2006, DOI: 10.1002/qj.49711448012

  12. Plasma-based ambient mass spectrometry techniques: The current status and future prospective

    Mass Spectrometry Reviews

    Volume 34, Issue 4, July/August 2015, Pages: 449–473, Xuelu Ding and Yixiang Duan

    Version of Record online : 13 DEC 2013, DOI: 10.1002/mas.21415

  13. Test of maximum power for detection of gross errors in process constraints

    AIChE Journal

    Volume 35, Issue 5, May 1989, Pages: 869–872, Cameron M. Crowe

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690350521

  14. Introduction and Motivation

    Robust Statistics: The Approach Based on Influence Functions

    Frank R. Hampel, Elvezio M. Ronchetti, Peter J. Rousseeuw, Werner A. Stahel, Pages: 1–77, 2011

    Published Online : 14 OCT 2011, DOI: 10.1002/9781118186435.ch1

  15. Power system state estimation: Undetectable bad data

    International Transactions on Electrical Energy Systems

    Volume 24, Issue 1, January 2014, Pages: 91–107, Raphael A. S. Benedito, Luís Fernando C. Alberto, Newton G. Bretas and João Bosco A. London Jr

    Version of Record online : 26 APR 2013, DOI: 10.1002/etep.1744

  16. Detecting persistent gross errors by sequential analysis of principal components

    AIChE Journal

    Volume 43, Issue 5, May 1997, Pages: 1242–1249, Hongwei Tong and Cameron M. Crowe

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690430513

  17. Process Monitoring and Data Reconciliation

    Computer Aided Process and Product Engineering

    Georges Heyen, Boris Kalitventzeff, Pages: 517–540, 2008

    Published Online : 4 JUN 2008, DOI: 10.1002/9783527619856.ch16

  18. Maximum power tests for gross error detection using likelihood ratios

    AIChE Journal

    Volume 36, Issue 10, October 1990, Pages: 1589–1591, Shankar Narasimhan

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690361017

  19. On the use of a Huber norm for observation quality control in the ECMWF 4D-Var

    Quarterly Journal of the Royal Meteorological Society

    Volume 141, Issue 690, July 2015 Part A, Pages: 1514–1527, Christina Tavolato and Lars Isaksen

    Version of Record online : 31 OCT 2014, DOI: 10.1002/qj.2440

  20. The maximum-power test for gross errors in the original constraints in data reconciliation

    The Canadian Journal of Chemical Engineering

    Volume 70, Issue 5, October 1992, Pages: 1030–1036, Cameron M. Crowe

    Version of Record online : 27 MAR 2009, DOI: 10.1002/cjce.5450700527