£135.00

Gulf Professional Publishing Data Reconciliation and Gross Error Detection - Engineering

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Description

This comprehensive guide delivers systematic methods for applying data reconciliation techniques in process plants and refineries. The book exhaustively covers data filtering, data compression, and measurement selection impacts on reconciliation accuracy. Learn to identify and correct data errors caused by power supply fluctuations, network transmission noise, signal conversion errors, analog input filtering, ambient condition changes, instrument malfunctions, miscalibration, and sensor wear and corrosion. Essential reading for engineers managing measurement integrity and process reliability in industrial operations.

Key Features

Comprehensive treatment of data reconciliation techniques applicable to process plants and refineries.

Detailed coverage of data filtering and data compression methods for improving measurement quality.

Practical guidance on how measurement selection affects data reconciliation outcomes.

Addresses gross error detection from multiple sources including power supply fluctuations, network transmission noise, and sensor degradation.

Published by Gulf Professional Publishing, a trusted source for industrial engineering resources.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 April 2013
Listed Since
16 April 2013

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