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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Houston :
Gulf Pub. Co.,
©2000.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Narasimhan, Shankar. | |
| 245 | 1 | 0 | |a Data reconciliation & gross error detection : |b an intelligent use of process data / |c Shankar Narasimhan and Cornelius Jordache. |
| 246 | 3 | |a Data reconciliation and gross error detection | |
| 260 | |a Houston : |b Gulf Pub. Co., |c ©2000. | ||
| 300 | |a 1 online resource (xvii, 406 pages) : |b illustrations | ||
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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. | ||
| 505 | 0 | |a : Introduction. Measurement Errors and Error Reduction Techniques. Steady State Data Reconciliation for Bilinear Systems. Nonlinear Steady State Data Reconciliation. Data Reconciliation in Dynamic Systems. Introduction to Gross Error Detection. Multiple Gross Error Identification Strategies for Steady State Processes. Gross Error Detection in Dynamic Processes. Design of Sensor Networks. Industrial Applications of Data Reconciliation and Gross Error Detection Technologies. Appendix A: Basic concepts of linear algebra. Appendix B: Basic concepts of Graph Theory. Appendix C: Statistical Hypotheses Testing. | |
| 504 | |a Includes bibliographical references and indexes. | ||
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a Knovel |b ACADEMIC - Process Design, Control & Automation | ||
| 650 | 0 | |a Chemical process control |x Automation. | |
| 650 | 0 | |a Automatic data collection systems. | |
| 650 | 0 | |a Error analysis (Mathematics) | |
| 650 | 6 | |a Procédés chimiques |x Contrôle |x Automatisation. | |
| 650 | 6 | |a Collecte automatique des données. | |
| 650 | 6 | |a Théorie des erreurs. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Chemical & Biochemical. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Chemistry |x Industrial & Technical. |2 bisacsh | |
| 650 | 7 | |a Automatic data collection systems. |2 fast |0 (OCoLC)fst00822733 | |
| 650 | 7 | |a Chemical process control |x Automation. |2 fast |0 (OCoLC)fst00853145 | |
| 650 | 7 | |a Error analysis (Mathematics) |2 fast |0 (OCoLC)fst00915028 | |
| 650 | 7 | |a Ausreißerwert |2 gnd | |
| 650 | 7 | |a Datenerhebung |2 gnd | |
| 650 | 7 | |a Prozessüberwachung |2 gnd | |
| 700 | 1 | |a Jordache, Cornelius. | |
| 776 | 0 | 8 | |i Print version: |a Narasimhan, Shankar. |t Data reconciliation & gross error detection. |d Houston : Gulf Pub. Co., ©2000 |z 0884152553 |z 9780884152552 |w (DLC) 99044868 |w (OCoLC)42080372 |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpDRGEDAIF/toc |z Texto completo |
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