rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data reconciliation & gross error detection
    sub title: an intelligent use of process data
  title info:
    title: Data reconciliation and gross error detection
  name:
    name part: Narasimhan, Shankar.
    role:
      role term: creator
  name:
    name part: Jordache, Cornelius.
  name:
    name part: ScienceDirect (Online service)
  name:
    name part: ProQuest (Firm)
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: txu
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 406 pages) : illustrations
  abstract: 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.
  table of contents: : 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.
  note: Shankar Narasimhan and Cornelius Jordache.
  note: 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. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
  note: digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
  note: Includes bibliographical references and indexes.
  note: English.
  subject:
    topic: Chemical process control
    topic: Automation
  subject:
    topic: Automatic data collection systems
  subject:
    topic: Error analysis (Mathematics)
  subject:
    topic: Procédés chimiques
    topic: Contrôle
    topic: Automatisation
  subject:
    topic: Collecte automatique des données
  subject:
    topic: Théorie des erreurs
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Chemical & Biochemical
  subject:
    topic: SCIENCE
    topic: Chemistry
    topic: Industrial & Technical
  subject:
    topic: Automatic data collection systems
  subject:
    topic: Chemical process control
    topic: Automation
  subject:
    topic: Error analysis (Mathematics)
  subject:
    topic: Ausreißerwert
  subject:
    topic: Datenerhebung
  subject:
    topic: Prozessüberwachung
  classification: TP155.75 .N367 2000eb
  classification: 660.2815
  classification: SK 880
  related item:
    title info:
      title: Data reconciliation & gross error detection
    name:
      name part: Narasimhan, Shankar.
    origin info:
      publisher: Houston : Gulf Pub. Co., ©2000
    identifier: (DLC) 99044868
    identifier: (OCoLC)42080372
  identifier: 9780080503714
  identifier: 0080503713
  identifier: 9781615836574
  identifier: 1615836578
  identifier: 9780884152552
  identifier: 0884152553
  identifier: 9781281035202
  identifier: 1281035203
  identifier: 9786611035204
  identifier: 6611035206
  identifier: 94609:94608 Elsevier Science & Technology
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 070806
    record change date: 20260326152227.1
    record identifier: in00005733444
    language of cataloging:
      language term: eng