Cover for Data Reconciliation and Gross Error Detection

Data Reconciliation and Gross Error Detection

An Intelligent Use of Process Data

Book1999

Authors:

Shankar Narasimhan and Cornelius Jordache

Data Reconciliation and Gross Error Detection

An Intelligent Use of Process Data

Book1999

 

Cover for Data Reconciliation and Gross Error Detection

Authors:

Shankar Narasimhan and Cornelius Jordache

About the book

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This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and th ... read full description

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  2. Book chapterAbstract only

    1 - The Importance of Data Reconciliation and Gross Error Detection

    Pages 1-31

  3. Book chapterAbstract only

    2 - Measurement Errors and Error Reduction Techniques

    Pages 32-58

  4. Book chapterAbstract only

    3 - Linear Steady-State Data Reconciliation

    Pages 59-84

  5. Book chapterAbstract only

    4 - Steady-State Data Reconciliation for Bilinear Systems

    Pages 85-118

  6. Book chapterAbstract only

    5 - Nonlinear Steady-State Data Reconciliation

    Pages 119-141

  7. Book chapterAbstract only

    6 - Data Reconciliation in Dynamic Systems

    Pages 142-173

  8. Book chapterAbstract only

    7 - Introduction to Gross Error Detection

    Pages 174-225

  9. Book chapterAbstract only

    8 - Multiple Gross Error Identification Strategies for Steady-State Processes

    Pages 226-280

  10. Book chapterAbstract only

    9 - Gross Error Detection in Linear Dynamic Systems

    Pages 281-299

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    10 - Design of Sensor Networks

    Pages 300-326

  12. Book chapterAbstract only

    11 - Industrial Applications of Data Reconciliation and Gross Error Detection Technologies

    Pages 327-372

  13. Book chapterNo access

    Appendix A - Basic Concepts in Linear Algebra

    Pages 373-377

  14. Book chapterNo access

    Appendix B - Graph Theory Fundamentals

    Pages 378-383

  15. Book chapterNo access

    Appendix C - Fundamentals of Probability and Statistics

    Pages 384-393

  16. Book chapterNo access

    Index

    Pages 394-402

  17. Book chapterNo access

    Author Index

    Pages 403-405

  18. Book chapterNo access

    The Authors

    Page 406

About the book

Description

This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained.Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference.

This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained.Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference.

Details

ISBN

978-0-88415-255-2

Language

English

Published

1999

Copyright

Copyright © 1999 Elsevier Inc. All rights reserved

Imprint

Gulf Professional Publishing

Authors

Shankar Narasimhan

Cornelius Jordache