Multivariate Statistical Process Control (Record no. 52635)
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fixed length control field | 03158nam a22004575i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4471-4513-4 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420221252.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 121205s2013 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781447145134 |
-- | 978-1-4471-4513-4 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 629.8 |
100 1# - AUTHOR NAME | |
Author | Ge, Zhiqiang. |
245 10 - TITLE STATEMENT | |
Title | Multivariate Statistical Process Control |
Sub Title | Process Monitoring Methods and Applications / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVIII, 194 p. |
490 1# - SERIES STATEMENT | |
Series statement | Advances in Industrial Control, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Song, Zhihuan. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4471-4513-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | London : |
-- | Springer London : |
-- | Imprint: Springer, |
-- | 2013. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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347 ## - | |
-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1430-9491 |
912 ## - | |
-- | ZDB-2-ENG |
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