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...

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Bibliographic Details
Main Author: Narasimhan, Shankar
Corporate Authors: ScienceDirect (Online service), ProQuest (Firm)
Other Authors: Jordache, Cornelius
Format: eBook
Language:English
Language Notes:English.
Published: Houston : Gulf Publishing Company, [2000.]
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (xvii, 406 pages) : illustrations
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:Includes bibliographical references and indexes.
ISBN:9780080503714
0080503713
9781615836574
1615836578
9781281035202
1281035203
9786611035204
6611035206