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There are 339502 results for: content related to: Detection of gross erros in data reconciliation by principal component analysis

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Data reconciliation and gross-error detection for dynamic systems

    AIChE Journal

    Volume 42, Issue 10, October 1996, Pages: 2841–2856, João S. Albuquerque and Lorenz T. Biegler

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690421014

  10. Downside financial loss of sensor networks in the presence of gross errors

    AIChE Journal

    Volume 52, Issue 11, November 2006, Pages: 3825–3841, Duy Quang NguyenThanh, Kitipat Siemanond and M. Bagajewicz

    Version of Record online : 14 SEP 2006, DOI: 10.1002/aic.10992

  11. Enhancing Life-Cycle Inventories via Reconciliation with the Laws of Thermodynamics

    Journal of Industrial Ecology

    Volume 11, Issue 4, October 2007, Pages: 5–25, Jorge L. Hau, Heui-seok Yi and Bhavik R. Bakshi

    Version of Record online : 8 FEB 2008, DOI: 10.1162/jiec.2007.1165

  12. 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

  13. 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

  14. Estimating state probability distributions from noisy and corrupted data

    AIChE Journal

    Volume 44, Issue 3, March 1998, Pages: 591–602, Lloyd P. M. Johnston and Mark A. Kramer

    Version of Record online : 16 APR 2004, DOI: 10.1002/aic.690440310

  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. 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

  17. 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

  18. 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

  19. Reconciliation of mass flow rate measurements in a chemical extraction plant

    The Canadian Journal of Chemical Engineering

    Volume 67, Issue 4, August 1989, Pages: 595–601, W. Holly, R. Cook and C. M. Crowe

    Version of Record online : 26 MAR 2009, DOI: 10.1002/cjce.5450670411

  20. Treatment of Gross Errors Using Maximum Probability Theory

    Quarterly Journal of the Royal Meteorological Society

    Volume 118, Issue 507, July 1992 Part B, Pages: 1017–1036, I. Dharssi, A. C. Lorenc and N. B. Ingleby

    Version of Record online : 15 DEC 2006, DOI: 10.1002/qj.49711850709