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Multivariate statistical process control : process monitoring methods and applications

Author: Zhiqiang Ge; Zhihuan Song
Publisher: London ; New York : Springer, ©2013.
Series: Advances in industrial control.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run  Read more...
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Document Type: Book
All Authors / Contributors: Zhiqiang Ge; Zhihuan Song
ISBN: 9781447145127 1447145127
OCLC Number: 824171923
Description: xviii, 193 pages : illustrations ; 24 cm.
Contents: Introduction --
An Overview of Conventional MSPC Methods --
Non-Gaussian Process Monitoring --
Fault Reconstruction and Identification --
Nonlinear Process Monitoring: Part 1 --
Nonlinear Process Monitoring: Part 2 --
Time-Varying Process Monitoring --
Multimode Process Monitoring: Part 1 --
Multimode Process Monitoring: Part 2 --
Dynamic Process Monitoring --
Probabilistic Process Monitoring --
Plant-Wide Process Monitoring: Multiblock Method.
Series Title: Advances in industrial control.
Responsibility: Zhiqiang Ge, Zhihuan Song.
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Abstract:

Highly developed and widely applicable, MSPC is popular in many industrial contexts. This book covers the most recent developments in the field, and includes a wealth of supplementary material and  Read more...

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From the reviews: "The aim of this book is to present an actual panorama of the statistical monitoring methods applied to industrial processes. ... The presentation of the book makes it ready to use Read more...

 
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