【摘要】 在对众多反映刀具信息的信号选取中 ,选择了振动信号作为研究对象。根据试验数据 ,对切削过程中产生的振动信号进行了分析与处理 ,提出了能够反映刀具破损的特征量。讨论了一种适合于变切削参数铣削加工中刀具破损的监控方法 ,建立了基于人工神经网络的铣刀破损振动监控仿真系统。仿真实验表明 :BP网络能够有效地用于铣刀破损监控系统中。建立的刀具破损监控系统能够达到预期效果 ,有很好的使用价值更多还原

【Abstract】 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.更多还原