The Milling Cutter-wear Monitoring Based on Time-frequency Analysis of Milling Sound Signals

For monitoring the milling cutter-wear degree in the milling process, the sound signals generated in the process was analyzed by time-frequency method. The result shows that sound spectrum amplitude periodically changes corresponding to the milling process characteristic in the time domain, and the sound power spectrum density (PSD) analysis reveals that there is corresponding relationship between the milling cutter-wear degree and the amplitude value of characteristic frequency in PSD chart. In the distinct characteristic frequency band, the milling cutter-wear degree can be detected with the sound amplitude periodical change and the PSD characteristic value change, so that the milling tool wear degree can be well monitored by the milling sound.