【摘要】 采用小波分析技术对钻削过程中由于钻头破损导致的进给电机电流信号变化进行处理 ,运用了小波分析具有的自适应滤波特点 ,有效地提取了刀具破损信号特征 ,并与声发射信号融合 ,建立了方法简单、可靠度高的刀具破损检测系统 ,这种方法克服了单独使用电机电流法和声发射法的缺点 .利用研制的系统在MakinoFanuc74 A2 0上进行了实测 ,测量结果表明利用所研制的系统检测1mm以上的钻头破损检出率达到了 99% ,完全能满足实际自动化加工系统的需要 ,从而证明小波分析的时—频特性能有效地显现出信号的局部变化 ,在融合声发射信号的条件下能大幅度减少刀具破损检测的误报率更多还原

【Abstract】 Presents a simple and reliable cutting tool breakage detection system which overcomes the disadvantage of motor current and AE respectively the experiment made with Makino Fanuc 74 A20 and concludes from the measurement results that the detection rate for broken tool with a diameter of over 1 mm reaches 99%, the system can perfectly satisfy the demand of automatic machining system, and small change of signal can be extracted using characteristic of time frequency of wavelet analysis, under fusing AE signal, the system can greatly reduce the misinformation rate of tool breakage.更多还原