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08-13-2019 08:02 AM - edited 08-13-2019 08:17 AM
I'm new here. I have measurement data (deformation of a building) that contains a noise signal that results from the temperature. The temperature is also available. My task is to use a mathematical method to eliminate the interfering signal How could I best eliminate them?
08-13-2019 10:28 AM
Find the frequency of the noise and eliminate it using a filter. Need a lot more info and example signals to tackle your problem
08-13-2019 11:24 AM - edited 08-13-2019 11:25 AM
Thank you for your Answer
Sensors were placed on a bridge to measure the deformation. These sensors provide the deformation over a certain time. The problem is that in the measured deformation part from the temperature is located, which is subordinate and must be filtered out. The temperature was also measured and exist.
I have two Photos attached
08-13-2019 03:28 PM
This is just images without data... Could you run FFT on both channels to see which frequency needs to be filtered out?
08-13-2019 04:22 PM
Hello,
I wanted to upload the Diadem file but I could not
Do you know why?
08-14-2019 02:26 AM
Hello
i have attached the file belw
08-14-2019 04:00 PM
Is that expected to look something like this?
08-15-2019 02:07 AM - edited 08-15-2019 02:40 AM
I don't think so.
09-18-2019 04:40 PM
Hi Mah,
Wouldn't a low-pass digital filter catch the slow deformation induced by temperature changes? Say anything less than 5 Hz?
Brad Turpin
DIAdem Product Support Engineer
National Instruments