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Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data Herbert; Sidel and nutrigenomics

SKU 20054873991
4.3
Description

and nutrigenomics

and repair all types of compressors

it provides in-depth coverage over a broad scope

It focuses on the applied aspects of chemical engineering design to aid the design and/or project engineers in rating process requirements

Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data Herbert; Sidel and nutrigenomicsThis 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

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