Statistical monitoring of complex multivariate processes

Statistical monitoring of complex multivariate processes: with applications in industrial process control

by Krüger, Uwe,, Dr

Type Book
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"The book summarises recent advances in statistical-based process monitoring of complex multivariate process systems"--

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Title Statements

  • Full title :Statistical monitoring of complex multivariate processes : with applications in industrial process control / Uwe Kruger and Lei Xie.

Summary

"The book summarises recent advances in statistical-based process monitoring of complex multivariate process systems"--

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Edition Statements

  • Publication Date:2012.

Publication Statements

  • Publisher(s):Wiley
  • Place of Publication:Chichester [England]
  • Language:eng
  • Publication Date:2012.

The Physical Object

  • Description:1 online resource (xxix, 437 p.) : : illustrations.

Edition Identifiers

  • ISBN:9780470028193, 047002819X, 9781118381267, 1118381262
  • oclc:ocn929416074
  • LC Classification:QA278
  • Dewey Decimal:519.5/35

Table of Contents

Machine generated contents note: Preface Introduction I Fundamentals of Multivariate Statistical Process Control 1 Motivation for Multivariate Statistical Process Control 1.1 Summary of Statistical Process Control 1.1.1 Roots and Evolution of Statistical Process Control 1.1.2 Principles of Statistical Process Control 1.1.3 Hypothesis Testing, Type I and II errors 1.2 Why Multivariate Statistical Process Control 1.2.1 Statistically Uncorrelated Variables 1.2.2 Perfectly Correlated Variables 1.2.3 Highly Correlated Variables 1.2.4 Type I and II Errors and Dimension Reduction 1.3 Tutorial Session 2 Multivariate Data Modeling Methods 2.1 Principal Component Analysis 2.1.1 Assumptions for Underlying Data Structure 2.1.2 Geometric Analysis of Data Structure 2.1.3 A Simulation Example 2.2 Partial Least Squares 2.2.1 Assumptions for Underlying Data Structure 2.2.2 Deflation Procedure for Estimating Data Models 2.2.3 A Simulation Example 2.3 Maximum Redundancy Partial Least Squares 2.3.1 Assumptions for Underlying Data Structure 2.3.2 Source Signal Estimation 2.3.3 Geometric Analysis of Data Structure 2.3.4 A Simulation Example 2.4 Estimating the Number of Source Signals 2.4.1 Stopping Rul…

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Subjects

Análisis multivariante Analyse multivariée multivariate analysis

Writers

Krüger, Uwe,, Dr Xie, Lei

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