What is the difference between Gain/Linearization and Gain/Advanced Linearization, and which will give the best results?

QUESTION 

 

What is the difference between Gain/Linearization and Gain/Advanced Linearization, and which will give the best results?

 

ANSWER

 

Gain/Linearization uses an nth order polynomial where n is 1-5 and is determined by the software.   Meaning it will choose which value for n to use based on the collected data points to give the best fit.

 

Gain/Advanced Linearization uses a piecewise linear fit between each data point. 

 

Even if you use Gain/Advanced Linearization it still may not make enough difference to classify the device into a higher class.   For example, if you used Gain/Linearization and your worst data point had .09% error and you then used Gain/Advance Linearization and got only .07% error it may still be classified as having a tolerance of +/- 0.1 % of range since both are under 0.1%  but neither may be good enough to fall into the next tolerance range and classification. 

 

The bottom line is to use Gain/Advanced Linearization whenever you can since this will most likely give you the best results.  Gain/Advanced Linearization was not included on early releases of the 793 System Software but comes standard now.   To see if you have it you can look at your options under the drop-down menu in the Calibrations Parameter Settings in the Station Manager Station Setup (Figure 1).

 

 

 Figure 1 – Calibration Type drop-down menu

 

K
Keary is the author of this solution article.

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