讨论了神经元网络技术 (NNT)在制造系统监控中的应用。利用 NNT并行分布处理和对复杂不确定问题的自适应和自学习优点 ,增大了系统的容错能力和提高了诊断速度及精度。实验研究表明 ,反向传播神经元网络是较为成熟的一种网络 ,将它用于镗削加工中切屑类型的判别能取得满意的结果 The application of neural network technology (NNT) in manufacturing system monitoring is discussed. Using NNT parallel distributed processing and self-learning and self-learning advantages for complex uncertainties, the fault tolerance of the system is increased and the speed and accuracy of diagnosis are increased. Experimental studies have shown that the backpropagation neural network is a more mature network, it can be used to determine the type of chip in boring processing can get satisfactory results