Simple Vibration data processing using python code
Python is powerful tool. due to very useful moduls.
Sensor : Acceleration sensor
Operation : 60Hz, Normal(Balancing & alignment)
Vibration Simulator (Normal)
rate,data = wave.read('01.wav') spectre = np.fft.fft(data) freq = np.fft.fftfreq(data.size, 1/rate) mask=freq>0 plt.plot(freq[mask],np.abs( spectre[mask])) datacursor() plt.show()
Result
you can See the FFT graph by 30Hz(1x) higher than frequency component. Very good result output.
* wav file is Data processing by all time : dont think sampling, window size, etc
* mp3 file dont used. because possible raw range for human Frequency Response.
source
http://www.logtech.co.kr/comp/comp_01.asp
http://dylab.kr/product/mvs-100/
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