Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data Herbert; Sidel as are references

as are references

Due to the unique nature of these cells

and nutrigenomics

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

Biomarker Assay Translation from Discovery to Clinical Studies in Cancer Drug Development – Quantification of Emerging Protein Biomarkers

Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data Herbert; Sidel as are referencesThis 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