How to calculate the equation of dataset using 'Fitting VI' (non-linear or polynomial fit)?

I have the datasheet of a NTC (thermistor negative Coefficient) and I want to calculate the most approximate equation

that describes its behavior. The table has values of temperature and resistance. If the resistance of the NTC varies according to the temperature it detects. I tried the following:

-Excel: polynomial adjustment

-Maple: polynomial adjustment

-LabVIEW: Polynomial Fit.vi

I've been doing equations with a not very good approximate parameteres. I suspect that this method 'Polynomial FIT' it is not the best method for this type of data/equation (being a non-linear equation).

So is - that someone has used the non-linear Fit.vi matching the behavior of a dataset object? If so, can you explain how this VI... I would really appreciate it.

Thanks in advance and I will wait for your reply.


Tags: NI Software

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