CNC machine tool wear monitoring method based on BP neural network and multi-sensor information fusion

摘要

The vibration signal and different tool wear signal are detected by vibration sensors and acoustic emission sensors.Based on the analysis of these signals,the appropriate indicators as the amount of tool wear characteristics are selected.The use of BP neural Network algorithm to MATLAB as a platform,a tool wear and tool wear characteristic vector nonlinear relationship between the states is built,enabling the tool condition monitoring system modeling and simulation.