Overview
- 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
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
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)Authors and Affiliations
Bibliographic Information
Book Title: Multivariate Statistical Process Control
Book Subtitle: Process Monitoring Methods and Applications
Authors: Zhiqiang Ge, Zhihuan Song
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-1-4471-4513-4
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-4512-7Published: 21 November 2012
Softcover ISBN: 978-1-4471-5989-6Published: 14 December 2014
eBook ISBN: 978-1-4471-4513-4Published: 28 November 2012
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XVIII, 194
Topics: Control and Systems Theory