Data Reconciliation and Gross Error Detection
eBook - PDF

Data Reconciliation and Gross Error Detection

An Intelligent Use of Process Data

  1. 350 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Data Reconciliation and Gross Error Detection

An Intelligent Use of Process Data

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Data Reconciliation and Gross Error Detection by Shankar Narasimhan,Cornelius Jordache in PDF and/or ePUB format, as well as other popular books in Business & Industrial Management. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Data Reconciliation & Gross Error Detection
  3. Copyright Page
  4. Contents
  5. Acknowledgments
  6. Preface
  7. Chapter 1. The Importance of Data Reconciliation and Gross Error Detection
  8. Chapter 2. Measurement Errors and Error Reduction Techniques
  9. Chapter 3. Linear Steady-State Data Reconciliation
  10. Chapter 4. Steady-State Data Reconciliation for Bilinear Systems
  11. Chapter 5. Nonlinear Steady-State Data Reconciliation,
  12. Chapter 6. Data Reconciliation in Dynamic Systems
  13. Chapter 7. Introduction to Gross Error Detection
  14. Chapter 8. Multiple Gross Error Identification Strategies for Steady-State Processes
  15. Chapter 9. Gross Error Detection in Linear Dynamic Systems
  16. Chapter 10. Design of Sensor Networks
  17. Chapter 11. Industrial Applications of Data Reconciliation and Gross Error Detection Technologies
  18. Appendix A. Basic Concepts of Linear Algebra
  19. Appendix B. Graph Theory Fundamentals
  20. Appendix C. Fundamentals of Probability and Statistics
  21. Index
  22. Author Index
  23. The Authors