Optimising kernel-based multivariate statistical process control

doi:10.1016/j.jprocont.2026.103679

Optimising kernel-based multivariate statistical process control

2026-03-03

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Z

Zina-Sabrina Duma *

V

Victoria Siriaki Jorry

DOI：10.1016/j.jprocont.2026.103679

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Abstract

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• Kernel MSPC is performant to detect challenging faults, if optimisation is done right. • Kernel MSPC optimisation can be achieved through optimising Kernel PCR. • A Kernel Flows-inspired procedure is appropriate for optimising individual-parameter kernels. • Fitting individual kernel parameters brings performance improvement and diagnostics.

Keywords:

MSPC

Kernel PCA

Kernel PCR

Kernel flows

Optimising kernel-based multivariate statistical process control

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