Data Reconciliation and Gross Error Detection

Author: Dr. Shankar Narasimhan Ph.D. (Ch.E.)
Edition: 1
Binding: Hardcover
ISBN: 0884152553

Data Reconciliation and 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. Download Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data from rapidshare, mediafire, 4shared. 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. Search and find a lot of engineering books in many category availabe for free download.

Download Data Reconciliation and Gross Error Detection

Download Data Reconciliation and Gross Error Detection engineering books for free. 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 ata 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.

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