Multivariate statistical process control : process monitoring methods and applications /

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Bibliographic Details
Author / Creator:Ge, Zhiqiang.
Imprint:London ; New York : Springer, c2013.
Description:1 online resource.
Language:English
Series:Advances in industrial control, 1430-9491
Advances in industrial control.
Subject:Process control -- Statistical methods.
Multivariate analysis.
Multivariate analysis.
Process control -- Statistical methods.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/9849077
Hidden Bibliographic Details
Other authors / contributors:Song, Zhihuan.
ISBN:9781447145134 (electronic bk.)
1447145135 (electronic bk.)
9781447145127
1447145127 (hbk)
9781447145127 (hbk)
Notes:Includes bibliographical references and index.
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 industrial processes efficiently at the same time as maintaining high product quality.
Other form:Print version: 9781447145127
Description
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 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 Contro l 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.

Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781447145134 (electronic bk.)
1447145135 (electronic bk.)
9781447145127
1447145127 (hbk)
9781447145127 (hbk)
ISSN:1430-9491