Advances in Industrial Control

Multivariate Statistical Process Control

Process Monitoring Methods and Applications

Authors: Ge, Zhiqiang, Song, Zhihuan

  • Illustrates recent developments of the MSPC technology for process monitoring, giving the reader up-to-date information Highlights potential research directions and application areas in each chapter Provides both supplementary material and industrial insight

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Hardcover $139.00
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  • ISBN 978-1-4471-4512-7
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About this book

 

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 industrial processes efficiently at the same time as maintaining high product quality.

Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas.

 

Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Reviews

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 for an audience already aware of the vocabulary and main techniques of statistical analysis. … the books contains a wealth of examples and benchmarks that are very valuable for estimating the quality of the methods as well as for supporting further researches in the area.” (Pierre Leone, zbMATH, Vol. 1272, 2013)

Table of contents (12 chapters)

  • Introduction

    Ge, Zhiqiang (et al.)

    Pages 1-4

  • An Overview of Conventional MSPC Methods

    Ge, Zhiqiang (et al.)

    Pages 5-11

  • Non-Gaussian Process Monitoring

    Ge, Zhiqiang (et al.)

    Pages 13-27

  • Fault Reconstruction and Identification

    Ge, Zhiqiang (et al.)

    Pages 29-44

  • Nonlinear Process Monitoring: Part 1

    Ge, Zhiqiang (et al.)

    Pages 45-60

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4471-4513-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-1-4471-4512-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-4471-5989-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Multivariate Statistical Process Control
Book Subtitle
Process Monitoring Methods and Applications
Authors
Series Title
Advances in Industrial Control
Copyright
2013
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-4513-4
DOI
10.1007/978-1-4471-4513-4
Hardcover ISBN
978-1-4471-4512-7
Softcover ISBN
978-1-4471-5989-6
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XVIII, 194
Topics