以“智能传感器组”为核心,将力传感器和温度传感器用于镗削加工中切屑堵塞的识别,通过两个传感器在线并行获取加工过程信息,进行信息融合,并对信号特征量的提取方法进行了研究.针对切削过程的复杂性、随机性和模糊性,提出了将模糊理论和神经网络相结合的Fuzzy-ARTMAP模型应用于切屑阻塞的识别,取得了很好的效果. The “intelligent sensor group” as the core, the force sensor and temperature sensor for boring chip jamming recognition, through the two sensors online parallel access to process information, information fusion, and signal feature extraction methods Aiming at the complexity, randomness and fuzziness of the cutting process, the fuzzy-ARTMAP model which combines the fuzzy theory and neural network is proposed to identify the chip jamming and achieve good results.