模糊神经技术在刀具故障检测中的应用

The Application of a Fuzzy Neural Technique in Cutting Tool Monitoring

提出了一种刀具故障检测方法，该方法把模糊逻辑和神经网络结合起来，并用神经网络分解技术，建立了一个刀具状态识别网络。该网络适用于用多传感器对刀具复杂状态进行识别和分类，具有训练时间短、执行速度快、可靠性高、抗噪能力强等特点。

This paper presents a method for detecting cutting tool's faults. The method combines fuzzy logic with neural network to build a fuzzy neural network (FNN). It is suited to dealing with undefined multi-sensor data and diagnosing tool's complex states. Adding ANN decomposing technique, the method has the merits of shorter training time, faster executing speed, higher reliability and anti-noise abilities.