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This document summarizes a research paper on using principal component analysis for statistical process monitoring of processes with correlated variables. It introduces the challenges of monitoring dynamic processes where variables exhibit autocorrelation rather than random fluctuations. Traditional multivariate control charts are reviewed, along with principal component analysis which transforms correlated variables into a set of uncorrelated principal components. The effectiveness of principal component a
- Author
- Sanem Hazal Türkay
- Language
- EN