A Python application for recording audio from a microphone in a wind tunnel, performing FFT (Fast Fourier Transform) analysis on the recorded signals, and sending/receiving fan speed commands via a COM port (e.g., Arduino).
- Record Background Noise: Capture ambient noise for 5 seconds.
- Record Operation Noise: Capture the wind tunnel’s operational noise for 5 seconds.
- Compute Noise Isolation: Subtract background noise from operational noise to isolate the wind tunnel’s contribution.
- Live Fan Speed Control: Enter a speed to control the fan via the COM port.
- PWM Output: Enter a PWM value (0–255) for manual PWM control.
- Time-Series Plot: Monitors air speed (m/s) over time on a live graph.
- Y-Axis Controls: Dynamically set the y-axis limits for each FFT plot.
- Reset Experiment: Stops the fan and clears the FFT/time-series plots.
- Start New Experiment: Creates a custom-named folder to store new data.
- Python 3.8+
- Packages listed in
requirements.txt(e.g.,numpy,sounddevice,matplotlib,pillow, etc.) - A COM port device (like an Arduino) if using fan speed features.
Clone this repository:
git clone https://github.com/username/WindTunnelFFT.gitExecutable apps are available in the /dist folder Dev copy has a debug console, whereas the normal copy is standalone.