⚠️ MODE BROUILLON SECRET
Automatisme Industriel
Vibration Analysis & Maintenance
In the context of predictive maintenance, this project demonstrates that it is possible to predict a failure (defective bearing, broken rotor bar, winding fault) long before the hardware breaks, using only motor vibration analysis.
[ 📸 TO INSERT: Photo of the acquisition bench or frequency spectrum ]
Using an acquisition bench on 3kW motors, we studied the impact of sensor placement. We delved into the Shannon-Nyquist theorem, understanding the crucial difference between increasing acquisition time and the importance of sampling frequency. Finally, it was in this project that I started using VBA, developing a UI capable of displaying the motor's health status based on the processed FFT signal.
- ✓ Application of the Shannon-Nyquist theorem and sampling frequency optimization.
- ✓ Mathematical signal processing via Fast Fourier Transform (FFT).
- ✓ Development of a VBA UI to visualize the motor's health status.
- ✓ [ 📸 TO INSERT: FFT signal processing curves ]
Traitement du SignalFFTVBAMaintenance Prédictive