Kernel methods for advanced statistical process control
Published in Technische Universität Dortmund Eldorado (Technische Universität Dortmund) • Jan 18, 2012
NobleIDNI6P06W80R95S51
Authors:
Issam Ben Khedhiri
Abstract
This thesis investigated development and application of Kernel methods to enhance Statistical Process Control procedures. The first part of this thesis discussed the development of a control chart based on adaptive Kernel Principal Components Analysis (KPCA) to monitor non-stationary nonlinear proce...
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