Narasimhan, Shankar. <br/><br/>
Data reconciliation & gross error detection :  an intelligent use of process data / 
 Data reconciliation and gross error detection 
Shankar Narasimhan and Cornelius Jordache. 
 - Houston :  Gulf Pub. Co.,  ©2000. 
 - 1 online resource (xvii, 406 pages) :  illustrations 
<br/><br/>Includes bibliographical references and indexes. 
<br/><br/>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. 
<br/><br/>Use copy 
<br/><br/> 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. 
<br/><br/><br/>Electronic reproduction. <br/>[S.l.] : <br/>HathiTrust Digital Library, <br/>2010. 
<br/><br/><br/>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. <br/>http://purl.oclc.org/DLF/benchrepro0212 
<br/><br/><label>ISBN: </label>9780884152552 0884152553 9780080503714 0080503713 9781615836574 1615836578 
<br/><br/><label>LCCN: </label>
<br/><br/><label>Subjects--Topical Terms: </label><br/>Chemical process control--Automation.<br/>Automatic data collection systems.<br/>Error analysis (Mathematics)<br/>TECHNOLOGY & ENGINEERING--Chemical & Biochemical.<br/>SCIENCE--Chemistry--Industrial & Technical.<br/>Automatic data collection systems.<br/>Chemical process control--Automation.<br/>Error analysis (Mathematics)<br/>Ausreißerwert.<br/>Datenerhebung.<br/>Prozessüberwachung.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>TP155.75  / .N367 2000eb