Data Processing and Reconciliation for Chemical Process Operations
Saved in:
| 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) |
| FullText | Links: – 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 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$210406$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$210406$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti 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 – Name: Author Label: Authors Group: Au 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> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su 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> – Name: SubjectBISAC Label: Categories Group: Su 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> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=210406 |
| 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: HasContributorRelationships: – PersonEntity: Name: NameFull: José A. Romagnoli – PersonEntity: Name: NameFull: Mabel Cristina Sanchez – PersonEntity: Name: NameFull: José A. Romagnoli – PersonEntity: Name: NameFull: Mabel Cristina Sanchez IsPartOfRelationships: – BibEntity: 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 |
| ResultId | 1 |