Odiowei P. Pabara-Ebiere

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The Principal Component Analysis (PCA) and the Partial Least Squares (PLS) are two commonly used techniques for process monitoring. Both PCA and PLS assume that the data to be analysed are not self-correlated i.e. time-independent. However, most industrial processes are dynamic so that the assumptions of time-independence made by the PCA and the PLS are(More)
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