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There are 786436 results for: content related to: Identification of faulty sensors using principal component analysis

  1. Multiscale PCA with application to multivariate statistical process monitoring

    AIChE Journal

    Volume 44, Issue 7, July 1998, Pages: 1596–1610, Bhavik R. Bakshi

    Article first published online : 16 APR 2004, DOI: 10.1002/aic.690440712

  2. Multivariate statistical process control charts: an overview

    Quality and Reliability Engineering International

    Volume 23, Issue 5, August 2007, Pages: 517–543, S. Bersimis, S. Psarakis and J. Panaretos

    Article first published online : 7 NOV 2006, DOI: 10.1002/qre.829

  3. EWMA control charts for monitoring binary processes with applications to medical diagnosis data

    Quality and Reliability Engineering International

    Volume 26, Issue 8, December 2010, Pages: 795–805, Christian H. Weiß and Martin Atzmüller

    Article first published online : 31 MAR 2010, DOI: 10.1002/qre.1098

  4. Effect of non-normality on the monitoring of simple linear profiles

    Quality and Reliability Engineering International

    Volume 27, Issue 4, June 2011, Pages: 425–436, R. Noorossana,, A. Vaghefi and M. Dorri

    Article first published online : 15 JUL 2010, DOI: 10.1002/qre.1125

  5. Multiscale SPC using wavelets: Theoretical analysis and properties

    AIChE Journal

    Volume 49, Issue 4, April 2003, Pages: 939–958, Hrishikesh B. Aradhye, Bhavik R. Bakshi, Ramon A. Strauss and James F. Davis

    Article first published online : 16 APR 2004, DOI: 10.1002/aic.690490412

  6. Statistical Surveillance. Optimality and Methods

    International Statistical Review

    Volume 71, Issue 2, August 2003, Pages: 403–434, Marianne Frisén

    Article first published online : 15 JAN 2007, DOI: 10.1111/j.1751-5823.2003.tb00205.x

  7. Evaluation of correlation forecasting models for risk management

    Journal of Forecasting

    Volume 26, Issue 7, November 2007, Pages: 497–526, Vasiliki D. Skintzi and Spyros Xanthopoulos-Sisinis

    Article first published online : 14 NOV 2007, DOI: 10.1002/for.1036

  8. Detection and identification of faulty sensors in dynamic processes

    AIChE Journal

    Volume 47, Issue 7, July 2001, Pages: 1581–1593, S. Joe Qin and Weihua Li

    Article first published online : 16 APR 2004, DOI: 10.1002/aic.690470711

  9. On t and EWMA t charts for monitoring changes in the process mean

    Quality and Reliability Engineering International

    Volume 25, Issue 8, December 2009, Pages: 933–945, Lingyun Zhang, Gemai Chen and Philippe Castagliola

    Article first published online : 6 MAR 2009, DOI: 10.1002/qre.1012

  10. Determining the state of a process control system: Current trends and future challenges

    The Canadian Journal of Chemical Engineering

    Volume 90, Issue 2, April 2012, Pages: 217–245, Y. Shardt, Y. Zhao, F. Qi, K. Lee, X. Yu, B. Huang and S. Shah

    Article first published online : 3 OCT 2011, DOI: 10.1002/cjce.20653

  11. Simple Linear Profiles

    Statistical Analysis of Profile Monitoring

    Rassoul Noorossana, Abbas Saghaei, Amirhossein Amiri, Pages: 21–92, 2011

    Published Online : 18 JUL 2011, DOI: 10.1002/9781118071984.ch2

  12. Monitoring medical procedures by exponential smoothing

    Statistics in Medicine

    Volume 26, Issue 1, 15 January 2007, Pages: 124–138, Henrik Spliid

    Article first published online : 14 FEB 2006, DOI: 10.1002/sim.2520

  13. Alternatives to Shewhart Charts

    Statistical Methods for Quality Improvement, Third Edition

    Thomas P. Ryan, Pages: 261–307, 2011

    Published Online : 18 JUL 2011, DOI: 10.1002/9781118058114.ch8

  14. A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in poisson rates

    Quality and Reliability Engineering International

    Volume 26, Issue 3, April 2010, Pages: 279–289, Sung Won Han, Kwok-Leung Tsui, Bancha Ariyajunya and Seoung Bum Kim

    Article first published online : 27 JUL 2009, DOI: 10.1002/qre.1056

  15. Enhancing the performance of EWMA charts

    Quality and Reliability Engineering International

    Volume 27, Issue 6, October 2011, Pages: 821–833, Nasir Abbas, Muhammad Riaz and Ronald J. M. M. Does

    Article first published online : 29 DEC 2010, DOI: 10.1002/qre.1175

  16. A New S2-EWMA Control Chart for Monitoring the Process Variance

    Quality and Reliability Engineering International

    Volume 21, Issue 8, December 2005, Pages: 781–794, Philippe Castagliola

    Article first published online : 13 MAY 2005, DOI: 10.1002/qre.686

  17. Integration of Sequential Process Adjustment and Process Monitoring Techniques

    Quality and Reliability Engineering International

    Volume 19, Issue 4, July/August 2003, Pages: 371–386, Rong Pan and Enrique del Castillo

    Article first published online : 19 AUG 2003, DOI: 10.1002/qre.590

  18. Sequential Binary Data

    Statistical Methods for Hospital Monitoring with R

    Anthony Morton, Kerrie Mengersen, Michael Whitby, Geoffrey Playford, Pages: 116–167, 2013

    Published Online : 4 JUL 2013, DOI: 10.1002/9781118639153.ch3

  19. A novel gradient approach for optimal design and sensitivity analysis of EWMA control charts

    Naval Research Logistics (NRL)

    Volume 61, Issue 3, April 2014, Pages: 223–237, Lianjie Shu, Wenpo Huang and Wei Jiang

    Article first published online : 16 MAR 2014, DOI: 10.1002/nav.21579

  20. Multivariate Control Charts for Measurement and Attribute Data

    Statistical Methods for Quality Improvement, Third Edition

    Thomas P. Ryan, Pages: 309–352, 2011

    Published Online : 18 JUL 2011, DOI: 10.1002/9781118058114.ch9