Data Processing and Reconciliation for Chemical Process Operations

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Title: Data Processing and Reconciliation for Chemical Process Operations
Description: Computer techniques have made online measurements available at every sampling period in a chemical process. However, measurement errors are introduced that require suitable techniques for data reconciliation and improvements in accuracy. Reconciliation of process data and reliable monitoring are essential to decisions about possible system modifications (optimization and control procedures), analysis of equipment performance, design of the monitoring system itself, and general management planning. While the reconciliation of the process data has been studied for more than 20 years, there is no single source providing a unified approach to the area with instructions on implementation. Data Processing and Reconciliation for Chemical Process Operations is that source. Competitiveness on the world market as well as increasingly stringent environmental and product safety regulations have increased the need for the chemical industry to introduce such fast and low cost improvements in process operations. - Introduces the first unified approach to this important field - Bridges theory and practice through numerous worked examples and industrial case studies - Provides a highly readable account of all aspects of data classification and reconciliation - Presents the reader with material, problems, and directions for further study
Authors: José A. Romagnoli, Mabel Cristina Sanchez
Resource Type: eBook.
Subjects: Chemical process control, Automatic data collection systems, Chemical process control--Automation, Chemical processes, Error analysis (Mathematics)
Categories: TECHNOLOGY & ENGINEERING / Chemical & Biochemical, TECHNOLOGY & ENGINEERING / Industrial Engineering
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 210406
RelevancyScore: 966
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 965.702392578125
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  Data: Data Processing and Reconciliation for Chemical Process Operations
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Computer techniques have made online measurements available at every sampling period in a chemical process. However, measurement errors are introduced that require suitable techniques for data reconciliation and improvements in accuracy. Reconciliation of process data and reliable monitoring are essential to decisions about possible system modifications (optimization and control procedures), analysis of equipment performance, design of the monitoring system itself, and general management planning. While the reconciliation of the process data has been studied for more than 20 years, there is no single source providing a unified approach to the area with instructions on implementation. Data Processing and Reconciliation for Chemical Process Operations is that source. Competitiveness on the world market as well as increasingly stringent environmental and product safety regulations have increased the need for the chemical industry to introduce such fast and low cost improvements in process operations. - Introduces the first unified approach to this important field - Bridges theory and practice through numerous worked examples and industrial case studies - Provides a highly readable account of all aspects of data classification and reconciliation - Presents the reader with material, problems, and directions for further study
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  Data: <searchLink fieldCode="AR" term="%22José+A%2E+Romagnoli%22">José A. Romagnoli</searchLink><br /><searchLink fieldCode="AR" term="%22Mabel+Cristina+Sanchez%22">Mabel Cristina Sanchez</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Chemical+process+control%22">Chemical process control</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+data+collection+systems%22">Automatic data collection systems</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+process+control--Automation%22">Chemical process control--Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+processes%22">Chemical processes</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+%28Mathematics%29%22">Error analysis (Mathematics)</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Chemical+%26+Biochemical%22">TECHNOLOGY & ENGINEERING / Chemical & Biochemical</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Industrial+Engineering%22">TECHNOLOGY & ENGINEERING / Industrial Engineering</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 660.2815
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Chemical process control
        Type: general
      – SubjectFull: Automatic data collection systems
        Type: general
      – SubjectFull: Chemical process control--Automation
        Type: general
      – SubjectFull: Chemical processes
        Type: general
      – SubjectFull: Error analysis (Mathematics)
        Type: general
    Titles:
      – TitleFull: Data Processing and Reconciliation for Chemical Process Operations
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: José A. Romagnoli
      – PersonEntity:
          Name:
            NameFull: Mabel Cristina Sanchez
      – PersonEntity:
          Name:
            NameFull: José A. Romagnoli
      – PersonEntity:
          Name:
            NameFull: Mabel Cristina Sanchez
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2000
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780125944601
            – Type: isbn-electronic
              Value: 9780080530277
          Numbering:
            – Type: volume
              Value: 00002
          Titles:
            – TitleFull: Data Processing and Reconciliation for Chemical Process Operations
              Type: main
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