INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781447145134
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-51633
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Multivariate Statistical Process Contro
General Material Designation
[Book]
Other Title Information
:Process Monitoring Methods and Applications
First Statement of Responsibility
/ by Zhiqiang Ge, Zhihuan Song
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London
Name of Publisher, Distributor, etc.
: Springer London :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2013.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XVIII, 193 p. 90 illus., 25 illus. in color., online resource.
SERIES
Series Title
(Advances in Industrial Control,1430-9491)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
CONTENTS NOTE
Text of Note
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.
Text of Note
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.
SERIES
Title
Advances in Industrial Control,1430-9491
TOPICAL NAME USED AS SUBJECT
Engineering
Electronic books
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Ge, Zhiqiang.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Song, Zhihuan
SpringerLink (Online service)
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9781447145127.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781447145127.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
