08-24-2022 08:06 AM
Solved! Go to Solution.
08-24-2022 09:30 AM
The specific type of calibration depends on the sensor itself. Typically, people get it calibrated by an external institution and use the data from the calibration report.
If you know that your sensor is linear, you can pick the 0mmHg to measure the offset error and 300mmHg to measure the gain error and use it in your y=kx+m (called slope, intercept cal method).
You can then use the k and m terms as part of the custom scale while creating the DAQmx task then all the measurements you get in DAQmx Read will be automatically converted to mmHg after correcting using the k and m factors.
08-26-2022 07:05 AM - edited 08-26-2022 07:12 AM
@HosseinBakhtiari wrote:
Hey all, I wander if it is possible to calibrate a pressure transducer alone in LabView?
Well, you need a external reference or known source of pressure 😉 😄
If you can, apply more than just two points, you gain confidence in your assumption to do a linear approximation and use only two points later.
I remember that we used at least 10 points and fitted a square function to get the needed uncertainty... depends on your needs and the stuff you can use.
08-26-2022 09:06 AM - edited 08-26-2022 09:16 AM
Sounds like to you need to "scale" your incoming data. I couldn't find where I originally downloaded it. But I have attached a LabVIEW scaling example I found awhile back.
***For some reason I'm unable to attach any files at all to the forum now. (Anyone else having this problem?)
The example is called LabVIEW Scale Generator (2013).zip
***Edit*** After clearing Chrome's cache I was able to post correctly and upload files again.
08-29-2022 01:48 AM
Thank you for all your responses!
Kind regards,
Hossein