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Quality Control of Impregnated Papers with a Multiple Regression ...

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Figure 1. Process chart <strong>of</strong> <strong>Impregnated</strong> paper production2 METHODS AND RESULTSThe modeling was done in two steps. In the first step data were collected over atime period <strong>of</strong> six weeks during the current production process. In this processautomated measureable data were collected in the facility and additional datafrom possible predictors, which have been analyzed in a laboratory, were alsocollected. On the basis <strong>of</strong> the collected data, predictors that were statisticallysignificant were identified using multiple linear regression analysis.In the second step the determined significant output parameters were collectedover a time period <strong>of</strong> six weeks and a multiple linear regression (MLR) modelto verify the results <strong>of</strong> the first experimental model was developed. For theMLR models only automated statistically significant parameters were used toensure a high and steady quality <strong>of</strong> the final product. In Figure 2 the improvementsin quality control are shown for the two optimized models. In Table 1 allmodel parameters are shown, as well as the model summary.173

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