A Milling Tool Wear Diagnostic Method Based on B-spline Fuzzy Neural Networks

A novel method of milling tool wear monitoring based on B-spline Fuzzy Neural Networks was proposed, we set up an experiment system of the milling tool wear monitoring and collect a variety of fault data using vibration sensor. Better characters can be got through amplitude-frequency field analysis of the signal. At last, B-spline fuzzy neural networks are adopted to monitor the tool wear. The networks store the information locally, which mean that learning in one part of the input space minimally affects the rest of it and the output of the networks is simple. The research provides B-spline fuzzy neural networks have a great potential to be successfully applied to on-line monitor of milling tool wear.