Python Signal Analysis Package GUI

Here is a signal analysis package GUI written using Tkinter: vibrationdata_gui_python.zip

It is compatible with Python versions 2.7 to 3.3, and hopefully future 3.x versions.

vibrationdata.py is the main script.

The remaining scripts are supporting functions.

These scripts demonstrate the use of multiple windows.

* * *

The following signal analysis functions are currently available:

Statistics
Trend Removal & Scaling
Butterworth Filter
Bessel Filter
Fourier Transform
Fast Fourier Transform (FFT)
Waterfall FFT
Power Spectral Density (PSD)
SDOF Response to Base Input
Shock Response Spectrum (SRS)
Rainflow Cycle Counting
Differentiate Time History
Integrate Time History
Autocorrelation
Cross-correlation
Cepstrum & Auto Cepstrum
Sound Pressure Level (SPL)

The following PSD functions are also available:

Overall GRMS
SDOF Response to Base Input PSD
Vibration Response Spectrum (VRS)

The following miscellaneous functions are also available:

Sine Amplitude Conversion
SDOF Response: Peak Sigma for Random Base Input
SDOF Response to Classical Pulse Base Input

More will be added in future revisions…

See also Vibrationdata Python Blog

* * *

Python Tip from Brian Hawkins for numpy arrays.

a = b merely creates a new reference to b. a[:] = b means “set all elements of a equal to those of b”. The difference is important because numpy arrays are mutable types.

* * *

– Tom Irvine

20 thoughts on “Python Signal Analysis Package GUI

  1. Pingback: Webinar Unit 1 – Natural Frequencies | Vibrationdata

  2. Pingback: Webinar Unit 2 Sine Vibration | Vibrationdata

  3. Pingback: Webinar 8 – Waterfall FFT | Vibrationdata

  4. Pingback: Webinar Special Topic – Sound File Processing | Vibrationdata

  5. Pingback: Webinars 9 & 10 – White Noise FFT, Sample Rate & Aliasing | Vibrationdata

  6. Pingback: Webinar 11 – Power Spectral Density | Vibrationdata

  7. Pingback: Webinar 12 – Power Spectral Density Functions of Measured Data | Vibrationdata

  8. Pingback: Webinar 13 – SDOF Response to Power Spectral Density Base Input | Vibrationdata

  9. Pingback: Webinar 14 – Synthesizing a Time History to Satisfy a PSD Specification | Vibrationdata

  10. Pingback: Webinar 15 – SDOF Response to Base Input in the Frequency Domain | Vibrationdata

  11. Pingback: Webinar 16 – Vibration Response Spectrum | Vibrationdata

  12. Pingback: Webinar 17 – SDOF Response to Applied Force | Vibrationdata

  13. Pingback: Webinar 18 – Force Vibration Response Spectrum | Vibrationdata

  14. Pingback: Webinar 19 – Digital Filtering | Vibrationdata

  15. Pingback: Webinar 20 – Digital Filtering, Part 2 | Vibrationdata

  16. Pingback: Introduction | vibrationdatapython

  17. Pingback: Vibrationdata Matlab Signal Analysis & Structural Dynamics Package | Vibrationdata

  18. Pingback: Webinar 25 – Pyrotechnic Shock | Vibrationdata

  19. Pingback: Webinar 22 – Integration and Differentiation of Time Histories & Spectral Functions | Vibrationdata

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s