01-22-2010 07:25 AM
Hello All,
I used Labview 9.0 to capture data from an ultrasound displacement sensors. The sampling rate of the sensor is about 12 Hz. The results data randomly have very low spikes frequencies of about 0.3Hz to 0.7Hz. Where are the sources of the spikes? Is it from the sensor? From power supply? From LabView?
Very happy if you can give me any clues.
Thanks
01-22-2010 07:34 AM
When using ultra sonic devices I find that distance, angle and surface (how hard, soft, etc...) are the biggest contributor to noise. If you get a sensor and use it on the outside of it range it will be nosier than if you use the low end. The closer the better for these devices.
Do you have data so we can see it?
01-22-2010 08:44 AM
Thanks Aeastet. Here is the data captured. You can see some of the spikes at the end of the waveform. Labview is sampling at 20 scan/second.
Thanks
01-22-2010 09:55 AM
01-22-2010 10:05 AM
Rather than averaging, you might pick the median value...(the one closest to the average...) noise will produce some outlier values that influence the average some, but by picking the median you are choosing a value close to the average that may not have been influenced by your noise environment....
Good Luck.
01-22-2010 10:54 AM
Hello,
The purpose of this test is to find down where is the possible source of the noise spikes. Software massage is another issues. Attached is another waveform captured from the same device but the LabView scan rate is 1000 scans/second. The lab is not that noisy.
Thanks
01-22-2010 10:59 AM
01-22-2010 01:13 PM
Hi Hummer1,
To address the DSP system, I did change the sensor by a signal generator. The waveform captured is OK in that case. The distance between the spikes (that you were talking about) is about 0.75sec .
Thanks
01-22-2010 01:57 PM
01-22-2010 02:04 PM
Two things to try:
1. Look at the signal with an oscilloscope to see if you see the same interference.
2. Speed up the sampling rate. If the interfering signal is higher in frequency than half the sampling rate, aliasing will occur. Aliasing is a very effective way to confuse the observer about what is really going on.
What kind of data acquisition device are you using? Are the inputs properly configured (differential, single ended, grounded, ...)?
Lynn