3 ago. 2018

Monitoring the performance with the histogram

NIR can be used to detect levels food additives and check if they are in the right limits.
In this cases there are several types of doughs, and they use two levels of additive concentration depending on the type. So we have always the same reference data.
A calibration is developed and we have new data to validate. NIR will give  results which I expect to be covering the reference value with a Gauss distribution.
Using the Monitor function I can see the prediction distribution vs. the reference distribution and check if the expectations are fine.
 

In the case of the higher concentration is fine, and in the lower concentration is skewed (that is why the S/I adjust is suggested).This can be a first approach to continue with this application with mor accurate reference values.

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