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Interpretable Multivariate Process Monitoring Using MEWMA and Explainable Machine Learning

Monitoring the stability of multivariate quality processes is essential for ensuring product conformity and process reliability in industrial systems. Multivariate Exponentially Weighted Moving Average (MEWMA) control charts are widely used to detect small and persistent shifts in correlated quality...

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Bibliografische Detailangaben
Hauptverfasser: Eda Beylihan, Ahad Beykent, Sermin Elevli
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-07-01
Schriftenreihe:Mathematics
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Online-Zugang:https://www.mdpi.com/2227-7390/14/13/2328
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