Performance Assessment for Process Monitoring and Fault Detection Methods

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 intere...

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Bibliographic Details
Main Author: Zhang, Kai
Format: eBook
Language:English
Published: Wiesbaden Springer Fachmedien Wiesbaden 2016, 2016
Edition:1st ed. 2016
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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. Contents Assessing the performance of T2 and Q fault detection statistics Proposing a new performance evaluation index called expected detection delay (EDD) Assessing the performance of different PM-FD methods using EDD when applied to detectingdifferent types of faults Assessing the state-space-based PM-FD methods when applied to a real hot strip mill process Target Groups Scientists and students in the field of process control and statistical quality control Electrical engineers, chemical engineers, hot strip steel mill engineers 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
Physical Description:XXI, 153 p. 55 illus online resource
ISBN:9783658159719