A Monitoring Method Based on Neural Networks for Milling Cutter Breakage

This paper selects vibration signals regarding as research object considering all kinds of cutter signals. According to experiment data, as for vibration signals sent out during cutting, is used to analysis and disposal, and characteristic value reflecting toolbreakage is extracted. This paper discusses a kind of monitoring method suited milling cutter breakage of variable cutting parameters and sets up a vibration monitoring system of milling cutter breakage based on neural networks. Simulation results show BP networks has better effect in milling cutter monitoring. The monitoring system accords with our anticipated requirement and has practicality value very well.