Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data

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Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data

By Narasimhan, Ph.D. (Ch.E.), Dr. Shankar; Jordache, Ph.D. (Ch.E), Dr. Cornelius

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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 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.

Subject: Trades & Technology -> Technology & Engineering -> Automation

Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data
Publisher: Elsevier S & T 11/1999
Imprint: Gulf Professional Publishing
Language: English
Length: 350 pages

ISBN 10: 0884152553
ISBN 13: 9780884152552
Print ISBN: 9780884152552

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