|Titolo:||Statistical control of commercial detergents production through fourier transform infra-red spectroscopy|
|Data di pubblicazione:||2014|
|Abstract:||Multivariate statistical control in conjunction with mid-infrared spectroscopy was implemented to monitor the quality of commercial detergents. The approach was developed by estimating the Hotelling T2 and Square Prediction Error Q statistics. A joint analysis of these two scalars has led to the introduction of a bivariate probability density function, which brings to the proposal of a novel normal operating region for the process. The sensitivity to detect abnormal processes is shown to be improved, with a correct identification of the detergent samples out of specifications.|
|Tipologia:||4.1 Contributo in Atti di convegno|
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