基于数据融合和随机模糊神经网络技术的刀具磨损软测量系统

Study on Soft-Sensor Systems of Tool Wear Based on Data Fusion and Stochastic Fuzzy Neural Network Technology

通过检测电流信号,利用基于随机模糊神经网络技术建立的软测量模型进行刀具磨损量测量,提出了利用数据融合技术减小测量误差的方法,仿真试验证明了该方法的可行性。

To measure the tool wear by using the presented soft-sensor model based on the stochastic fuzzy neural network technology through the electric current signal, and the method of decreased the measure error by used the data fusion technology is presented. The computer simulations show that the method and the means are correct, effective and feasible.