Drexel dragonThe Math ForumDonate to the Math Forum



Search All of the Math Forum:

Views expressed in these public forums are not endorsed by Drexel University or The Math Forum.


Math Forum » Discussions » Software » comp.soft-sys.matlab

Topic: Filtering Signal from Accelerometer Impact Data
Replies: 1   Last Post: May 8, 2013 1:04 AM

Advanced Search

Back to Topic List Back to Topic List Jump to Tree View Jump to Tree View   Messages: [ Previous | Next ]
Derek Goring

Posts: 3,892
Registered: 12/7/04
Re: Filtering Signal from Accelerometer Impact Data
Posted: May 8, 2013 1:04 AM
  Click to see the message monospaced in plain text Plain Text   Click to reply to this topic Reply

On Wednesday, May 8, 2013 10:28:10 AM UTC+12, Jonathan wrote:
> Hello,
>
>
>
> I have conducted a series of impact tests using an accelerometer mounted to the hammer of a Charpy impact tester. Instead of swinging through at the bottom of the swing arc, I installed a flat plate as an impact "target" to stop the swing.
>
>
>
> From each of the tests, I acquired various sets of data from the impact. I aquired the following type of plot:
>
>
>
> https://docs.google.com/file/d/0BxFCEJ8KYcAJMENERkltckp3Rms/edit?usp=sharing
>
>
>
> After the first impact, the hammer bounced several times, explaining the repeated "bump" sections.
>
>
>
> The objective of the tests were to determine the dampening effect of adding certain material cross sections to the hammer impact face.
>
>
>
> This appears to be a sinusoidal waveform, which is expected. My question is, what would be the best way to filter this data in order to remove the noise associated with the accelerometer?
>
>
>
> Any help is appreciated. Thank you


What noise?
Compared with what my accelerometers measure, your signal looks pretty clean to me.
As far as filtering such a signal goes, it's non-stationarity suggests using wavelets. If you have the Wavelet Toolbox, you could try wavedec which will decompose the signal into wavelet space. Then you can either low-pass or high-pass filter by combining details and approximations appropriately using waverec.



Point your RSS reader here for a feed of the latest messages in this topic.

[Privacy Policy] [Terms of Use]

© Drexel University 1994-2014. All Rights Reserved.
The Math Forum is a research and educational enterprise of the Drexel University School of Education.