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Measuring propagation delay of a signal between two measurement points!

Hello,

 

I am measuring propagation of an acceleration signal (ACC) between 2 measuring points (sensors).With 51.2 [kS/s] sampling rate the resolution is 19.5 [us]. I can count delay's samples "manually", but can this be automated with sufficient certainty?

 

Thanks in advance,

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Hi golubovski,

 

did you ever heard about correlation functions?

Best regards,
GerdW


using LV2016/2019/2021 on Win10/11+cRIO, TestStand2016/2019
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Hi Gerd,

 

Yes I had, just as well I had heard of Ferrari but never got a chance ... Have you seen the spectrum of a real acceleration signal? It has noise beyond the boundaries of the DAQ system's dynamic range - especially toward DC. I can't use a filter because it introduces phase distortion. What exaclty are you suggesting?

 

Thanks in advance,

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Hi golubovski,

 

you just asked for determination of signal delays. That's what correlation functions are used for.

 

Now you introduced a new item in this discussion...

When there is noise in the signal you will have to filter that noise. Or you have to live with the noise and still try to detect signal delays...

Best regards,
GerdW


using LV2016/2019/2021 on Win10/11+cRIO, TestStand2016/2019
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Gerd,

 

I did mention signal is ACC before the question... Never mind, do you have experience with how filtering impacts delay resolution with respect to the numbers I had provided? I have no idea what I am allowed and what I am not allowed to do.

 

R

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Hi R,

 

I had to deal with acceleration signals before and they weren't too noisy to detect propragation times with correlation...

 

I can't tell you what's allowed and what's not allowed. You have to test your algorithm with known signals before you use it on a real machine...

Best regards,
GerdW


using LV2016/2019/2021 on Win10/11+cRIO, TestStand2016/2019
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golubovski,

 

You said your system has "noise beyond the DAQ system's dynamic range." If this is true, you need to do some analog signal conditioning before the signal reaches the DAQ device. Otherwise you have no way of knowing what is valid signal and what has been corrupted by the out of range noise.

 

Please post some data.

 

Lynn

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Hi again,

 

It seems that [TSA Cross-correlation Function.VI] gives the delay ("lag") as the highest peak in its "cross correlation" output which is an array. If I can use this directly (without having to recall the math theory behind) I'd have the following couple of questions:

 

1. Is the delay always associated with the absolute MAX of the "cross-correlation" array? - Can I read it as the Xmax of the [Xmax,Ymax] point?

    How to calculate the delay/lag - is it the relative offset from the central index of the "cross-correlation" array (Xmax - Xcenter)?

    Will biased weighting "ensure" my lag to be the peak in the array?

 

2. The "cross-correlation" array has no time dimension - is it the the original sampling rate (dt)?

 

If these assumptions are not correct, what would be the proper procedure?

 

Thanks in advance,

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Information on the operation of the function can be found in the LabVIEW Help Documentation:

http://zone.ni.com/reference/en-XX/help/371419D-01/lvtimeseriestk/tsa_crscorrelation_func/#instance1

 

Note the function details at the bottom of the page.

 

Information on what to expect from the Cross-Correlation array can be found here:

http://zone.ni.com/reference/en-XX/help/371419D-01/lvasptconcepts/tsa_correlation_methods/#Cross-Cor...

 

Hopefully the details found in the documentation can answer your questions.

Craig H. | CLA CTA CLED | Applications Engineer | NI Employee 2012-2023
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golubovski,

with that few information bits you provided Gerd,johnsold and craig already provided a lot of information 😉

Here are some more hints:

Of course you can filter the signals! If you apply the same (linear) filter on both signals the phase delay will be the same, so the delay you will measure between the two signals.

And there are filter with zero phase shift (FIR)  or you can apply a filter with phase shift , inverse the data array and apply the same filter again.. -> no phase shift 🙂

 

You can increase the resolution to subsample by fitting a peak on the autocorrelation or

Do an phase delay measurement in the frequency domain...  I just did that to measure the dispersion of sound in a titan rod ...

 

 

BUT all of that involves a basic understanding of signal theory or to stay with your example: All parts for your (software) Ferrari are there and some hints on how to put it together are given. However without understanding what you do you will crash.

Greetings from Germany
Henrik

LV since v3.1

“ground” is a convenient fantasy

'˙˙˙˙uıɐƃɐ lɐıp puɐ °06 ǝuoɥd ɹnoʎ uɹnʇ ǝsɐǝld 'ʎɹɐuıƃɐɯı sı pǝlɐıp ǝʌɐɥ noʎ ɹǝqɯnu ǝɥʇ'


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