Overview
- Publication in the field of technical sciences
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The objective of Kai Zhang and his research is to assess the existing process monitoring and fault detection (PM-FD) methods. His aim is to provide suggestions and guidance for choosing appropriate PM-FD methods, because the performance assessment study for PM-FD methods has become an area of interest in both academics and industry. The author first compares basic FD statistics, and then assesses different PM-FD methods to monitor the key performance indicators of static processes, steady-state dynamic processes and general dynamic processes including transient states. He validates the theoretical developments using both benchmark and real industrial processes.
Authors and Affiliations
About the author
Kai Zhang has just finished his PhD defense. His research area covers multivariate statistical process monitoring (PM) methods, data-driven fault detection (FD) methods and performance evaluation for PM-FD methods.
Bibliographic Information
Book Title: Performance Assessment for Process Monitoring and Fault Detection Methods
Authors: Kai Zhang
DOI: https://doi.org/10.1007/978-3-658-15971-9
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH 2016
Softcover ISBN: 978-3-658-15970-2Published: 13 October 2016
eBook ISBN: 978-3-658-15971-9Published: 04 October 2016
Edition Number: 1
Number of Pages: XXI, 153
Number of Illustrations: 55 b/w illustrations
Topics: Probability and Statistics in Computer Science, Control and Systems Theory, Industrial Chemistry/Chemical Engineering, Systems Theory, Control