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采用传感器融合的监测方法，集成来自多个传感器的信息，建立了一个基于人工神经网络的镗削刀具状态监测的智能系统。对不同的刀具、不同的切削用量，该系统的正确识别率达８７％。
The sensor fusion monitoring method is used to integrate the information from multiple sensors and an intelligent system for boring tool condition monitoring based on artificial neural network is established. For different tools, different cutting rates, the correct recognition rate of the system up to 87%.