Zhiqiang Ge, Zhihuan Song

Multivariate Statistical Process Control (eBook, PDF)

Process Monitoring Methods and Applications

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 194
• Erscheinungstermin: 28. November 2012
• Englisch
• ISBN-13: 9781447145134
• Artikelnr.: 37669630

Inhaltsangabe

Introduction.- An Overview of Conventional MSPC Methods.- Non-Gaussian Process Monitoring.- Fault Reconstruction and Identification.- Nonlinear Process Monitoring: Part I.- 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.- Reference.- Index.

Rezensionen

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)