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.
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
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Other authors / contributors:Song, Zhihuan.
ISBN:9781447145134 (electronic bk.)
1447145135 (electronic bk.)
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

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