Data reconciliation & gross error detection : an intelligent use of process data

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 prob...

Full description

Saved in:
Bibliographic Details
Main Author Narasimhan, Shankar
Other Authors Jordache, Cornelius
Format Electronic eBook
LanguageEnglish
Published Houston : Gulf Pub. Co., ©2000.
Subjects
Chemical process control > Automation.
Automatic data collection systems.
Error analysis (Mathematics)
elektronické knihy
electronic books
Online AccessFull text
ISBN9780884152552
0884152553
9780080503714
0080503713
9781615836574
1615836578
1281035203
9781281035202
9786611035204
6611035206
Physical Description1 online resource (xvii, 406 pages) : illustrations

Cover

Table of Contents:
  • : Introduction. Measurement Errors and Error Reduction Techniques. Steady State Data Reconciliation for Bilinear Systems. Nonlinear Steady State Data Reconciliation. Data Reconciliation in Dynamic Systems. Introduction to Gross Error Detection. Multiple Gross Error Identification Strategies for Steady State Processes. Gross Error Detection in Dynamic Processes. Design of Sensor Networks. Industrial Applications of Data Reconciliation and Gross Error Detection Technologies. Appendix A: Basic concepts of linear algebra. Appendix B: Basic concepts of Graph Theory. Appendix C: Statistical Hypotheses Testing.

Similar Items