Tool Status Recognition Based on Cluster Algorithm Integrating Linear Machine and Rough Set
Can Liu · Mechanical & Electrical Engineering Technology · 2006
For milling-cutter-status recognition,in order to well fit training sample data,the algorithm of integrating linear machine and rough set is applied.Training data is supervised learned,and the classification rule is obtained.The calculation of learning is simple,classification rule is simplified,and sample classification right ratio is high.These show that tool-status-recognition rule can be well obtained with this algorithm.