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Author Ge, Zhiqiang.

Title Multivariate statistical process control : process monitoring methods and applications / Zhiqiang Ge, Zhihuan Song
Published London ; New York : Springer, [2013]
©2013
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Description 1 online resource
Series Advances in industrial control, 1430-9491
Advances in industrial control.
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
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
Analysis Engineering
Control
Bibliography Includes bibliographical references and index
Subject Process control -- Statistical methods.
Multivariate analysis.
Form Electronic book
Author Song, Zhihuan.
LC no. 2012947424
ISBN 1283910624 (MyiLibrary)
1447145127 (hbk.)
1447145135 (electronic bk.)
9781283910620 (MyiLibrary)
9781447145127 (hbk.)
9781447145134 (electronic bk.)