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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Multivariate Statistical Process Control - Process Monitoring Methods and Applications (Paperback, 2013 ed.)
Loot Price: R3,618
Discovery Miles 36 180
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Multivariate Statistical Process Control - Process Monitoring Methods and Applications (Paperback, 2013 ed.)
Series: Advances in Industrial Control
Expected to ship within 18 - 22 working days
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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. Advances in Industrial Control
aims to report and encourage the transfer of technology in control
engineering. The rapid development of control technology has an
impact on all areas of the control discipline. The series offers an
opportunity for researchers to present an extended exposition of
new work in all aspects of industrial control.
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