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There are 21500 results for: content related to: Data reconciliation and gross-error detection for dynamic systems

  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. 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

  3. Integral approach to plant linear dynamic reconciliation

    AIChE Journal

    Volume 43, Issue 10, October 1997, Pages: 2546–2558, Miguel J. Bagajewicz and Qiyou Jiang

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690431016

  4. 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

  5. Inference in dynamic error-in-variable-measurement problems

    AIChE Journal

    Volume 43, Issue 4, April 1997, Pages: 986–996, JoãO S. Albuquerque, Lorenz T. Biegler and Robert E. Kass

    Version of Record online : 17 JUN 2004, DOI: 10.1002/aic.690430414

  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. 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

  8. On-line multiscale filtering of random and gross errors without process models

    AIChE Journal

    Volume 45, Issue 5, May 1999, Pages: 1041–1058, Mohamed N. Nounou and Bhavik R. Bakshi

    Version of Record online : 16 APR 2004, DOI: 10.1002/aic.690450513

  9. Review of Real Time Optimization in the Chemical Process Industries

    Developments in Chemical Engineering and Mineral Processing

    Volume 3, Issue 2, 1995, Pages: 67–87, M. R. Naysmith and P. L. Douglas

    Version of Record online : 15 MAY 2008, DOI: 10.1002/apj.5500030202

  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. 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

  13. Simultaneous Data Reconciliation and Parameter Estimation in Bulk Polypropylene Polymerizations in Real Time

    Macromolecular Symposia

    Volume 243, Issue 1, November, 2006, Pages: 91–103, Diego Martinez Prata, Enrique Luis Lima and José Carlos Pinto

    Version of Record online : 20 DEC 2006, DOI: 10.1002/masy.200651110

  14. 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

  15. Common vulnerabilities of RTO implementations in real chemical processes

    The Canadian Journal of Chemical Engineering

    Volume 91, Issue 4, April 2013, Pages: 652–668, André D. Quelhas, Normando José Castro de Jesus and José Carlos Pinto

    Version of Record online : 24 SEP 2012, DOI: 10.1002/cjce.21738

  16. 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

  17. 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

  18. 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

  19. 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

  20. Constrained process monitoring: Moving-horizon approach

    AIChE Journal

    Volume 48, Issue 1, January 2002, Pages: 97–109, Christopher V. Rao and James B. Rawlings

    Version of Record online : 16 APR 2004, DOI: 10.1002/aic.690480111