Monitoring feedback-controlled processes using adaptiveT2schemes

DOI10.1080/00207540701325488zbMath1128.90467OpenAlexW2131338784MaRDI QIDQ5444591

Fugee Tsung, Kaibo Wang

Publication date: 25 February 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540701325488

zbMATH Keywords

process dynamicsstatistical process controlexponentially weighted moving averageautomatic process controladaptive chart

Mathematics Subject Classification ID

Production models (90B30)

Related Items (1)

A process monitoring scheme based on independent component analysis and adjusted outliers

Cites Work

• Analysis of Autocorrelations in Dynamic Processes
• Monitoring automatically controlled processes using statistical control charts
• Statistical monitoring and diagnosis of automatic controlled processes using dynamic PCA
• General run-to-run (R2R) control framework using self-tuning control for multiple-input multiple-output (MIMO) processes
• Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme

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