通过对钻、车、镗削刀具失效过程中产生的声发射信号的分析,获得了信号的频谱特性,建立了描述刀具破损、磨损状态的数学模型。依据分析及实验结果,设计了一个智能化的刀具状态监控系统。刀具破损面积的分辨率为0.01mm~2,刀具破损的响应时间小于0.1ms,漏报率及误报率小于5％。 Through analyzing the AE signals generated during the failure of drilling, turning and boring tools, the spectral characteristics of the signals were obtained and a mathematical model describing the damage and wear status of the tools was established. Based on the analysis and experimental results, an intelligent tool condition monitoring system is designed. The resolution of the damaged area of ​​the tool is 0.01mm ~ 2, the response time of the broken tool is less than 0.1ms, the false negative rate and false negative rate are less than 5%.