Data reconciliation & gross error detection: an intelligent use of process data
This 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 prob...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Houston
Gulf Pub. Co.
© 2000
|
| Schlagworte: | |
| Online-Zugang: | FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | This 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 noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference |
| Beschreibung: | Includes bibliographical references and indexes |
| Beschreibung: | 1 online resource (xvii, 406 pages) illustrations |
| ISBN: | 9780884152552 0884152553 9780080503714 0080503713 9781615836574 1615836578 |
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| 520 | |a This 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 noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference | ||
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Datensatz im Suchindex
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| discipline | Chemie / Pharmazie |
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| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:49Z |
| institution | BVB |
| isbn | 9780884152552 0884152553 9780080503714 0080503713 9781615836574 1615836578 |
| language | English |
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| spelling | Narasimhan, Shankar Verfasser aut Data reconciliation & gross error detection an intelligent use of process data Shankar Narasimhan and Cornelius Jordache Data reconciliation and gross error detection Houston Gulf Pub. Co. © 2000 1 online resource (xvii, 406 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and indexes This 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 noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh SCIENCE / Chemistry / Industrial & Technical bisacsh Automatic data collection systems fast Chemical process control / Automation fast Error analysis (Mathematics) fast Ausreißerwert swd Datenerhebung swd Prozessüberwachung swd Chemical process control Automation Automatic data collection systems Error analysis (Mathematics) Ausreißerwert (DE-588)4143602-7 gnd rswk-swf Datenerhebung (DE-588)4155272-6 gnd rswk-swf Prozessüberwachung (DE-588)4133922-8 gnd rswk-swf Prozessüberwachung (DE-588)4133922-8 s Datenerhebung (DE-588)4155272-6 s Ausreißerwert (DE-588)4143602-7 s 1\p DE-604 Jordache, Cornelius Sonstige oth http://www.sciencedirect.com/science/book/9780884152552 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Narasimhan, Shankar Data reconciliation & gross error detection an intelligent use of process data TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh SCIENCE / Chemistry / Industrial & Technical bisacsh Automatic data collection systems fast Chemical process control / Automation fast Error analysis (Mathematics) fast Ausreißerwert swd Datenerhebung swd Prozessüberwachung swd Chemical process control Automation Automatic data collection systems Error analysis (Mathematics) Ausreißerwert (DE-588)4143602-7 gnd Datenerhebung (DE-588)4155272-6 gnd Prozessüberwachung (DE-588)4133922-8 gnd |
| subject_GND | (DE-588)4143602-7 (DE-588)4155272-6 (DE-588)4133922-8 |
| title | Data reconciliation & gross error detection an intelligent use of process data |
| title_alt | Data reconciliation and gross error detection |
| title_auth | Data reconciliation & gross error detection an intelligent use of process data |
| title_exact_search | Data reconciliation & gross error detection an intelligent use of process data |
| title_full | Data reconciliation & gross error detection an intelligent use of process data Shankar Narasimhan and Cornelius Jordache |
| title_fullStr | Data reconciliation & gross error detection an intelligent use of process data Shankar Narasimhan and Cornelius Jordache |
| title_full_unstemmed | Data reconciliation & gross error detection an intelligent use of process data Shankar Narasimhan and Cornelius Jordache |
| title_short | Data reconciliation & gross error detection |
| title_sort | data reconciliation gross error detection an intelligent use of process data |
| title_sub | an intelligent use of process data |
| topic | TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh SCIENCE / Chemistry / Industrial & Technical bisacsh Automatic data collection systems fast Chemical process control / Automation fast Error analysis (Mathematics) fast Ausreißerwert swd Datenerhebung swd Prozessüberwachung swd Chemical process control Automation Automatic data collection systems Error analysis (Mathematics) Ausreißerwert (DE-588)4143602-7 gnd Datenerhebung (DE-588)4155272-6 gnd Prozessüberwachung (DE-588)4133922-8 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Chemical & Biochemical SCIENCE / Chemistry / Industrial & Technical Automatic data collection systems Chemical process control / Automation Error analysis (Mathematics) Ausreißerwert Datenerhebung Prozessüberwachung Chemical process control Automation |
| url | http://www.sciencedirect.com/science/book/9780884152552 |
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